Scholars@Duke
Tien Yin Wong

Tien Yin Wong

Medical Professor in the Department of Ophthalmology
Ophthalmology

Scholarly Works - Conferences

Exploring Factors Underlying Ethnic Difference in Age-related Macular Degeneration Prevalence.

Conference Ophthalmic Epidemiol · October 2020 AIMS: To assess contributions of dietary and genetic factors to ethnic differences in AMD prevalence. DESIGN: Population-based analytical study. METHODS: In the Blue Mountains Eye Study, Australia (European ancestry n = 2826) and Multi-Ethnic Cohort Study, ... Full text Link to item Cite

Artificial Intelligence using Deep Learning System for Glaucoma Suspect Detection

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · July 1, 2018 Link to item Cite

Ocular disease detection from multiple informatics domains

Conference Proceedings International Symposium on Biomedical Imaging · May 23, 2018 Computer aided detection for automatic ocular disease detection is an important area of research. As different ocular diseases possess different characteristics and present at different locations within the eye, it is difficult to find a common way to effe ... Full text Cite

SLCO1B1 gene, statin use and incidence of age-related cataract: The Blue Mountains Eye Study

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · June 1, 2017 Link to item Cite

Investigation of PACG associated genetic variants in persons with early stages of angle closure disease

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · September 1, 2016 Link to item Cite

Aspirin and Diabetic Retinopathy: the Singapore Epidemiology of Eye Disease (SEED) study

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · September 1, 2016 Link to item Cite

6 year Incidence and progression of diabetic retinopathy: the Singapore Malay Eye Study

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · September 1, 2016 Link to item Cite

Classification of SD-OCT volumes with multi pyramids, LBP and HOG descriptors: application to DME detections.

Conference Annu Int Conf IEEE Eng Med Biol Soc · August 2016 This paper deals with the automated detection of Diabetic Macular Edema (DME) on Optical Coherence Tomography (OCT) volumes. Our method considers a generic classification pipeline with preprocessing for noise removal and flattening of each B-Scan. Features ... Full text Link to item Cite

Classifying DME vs normal SD-OCT volumes: A review

Conference Proceedings International Conference on Pattern Recognition · January 1, 2016 This article reviews the current state of automatic classification methodologies to identify Diabetic Macular Edema (DME) versus normal subjects based on Spectral Domain OCT (SD-OCT) data. Addressing this classification problem has valuable interest since ... Full text Cite

Semantic reconstruction-based nuclear cataract grading from slit-lamp lens images

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2016 Cataracts are the leading cause of visual impairment and blindness worldwide. Cataract grading,i.e. assessing the presence and severity of cataracts,is essential for diagnosis and progression monitoring. We present in this work an automatic method for pred ... Full text Cite

Classification of SD-OCT volumes for DME detection: An anomaly detection approach

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2016 Diabetic Macular Edema (DME) is the leading cause of blindness amongst diabetic patients worldwide. It is characterized by accumulation of water molecules in the macula leading to swelling. Early detection of the disease helps prevent further loss of visio ... Full text Cite

Glaucoma detection based on deep convolutional neural network.

Conference Annu Int Conf IEEE Eng Med Biol Soc · August 2015 Glaucoma is a chronic and irreversible eye disease, which leads to deterioration in vision and quality of life. In this paper, we develop a deep learning (DL) architecture with convolutional neural network for automated glaucoma diagnosis. Deep learning sy ... Full text Link to item Cite

Red lesion detection in retinal fundus images using Frangi-based filters.

Conference Annu Int Conf IEEE Eng Med Biol Soc · August 2015 This paper presents a method to detect red lesions related to Diabetic Retinopathy (DR), namely Microaneurysms and Hemorrhages from retinal fundus images with robustness to the presence of blood vessels. Filters based on Frangi filters are used for the fir ... Full text Link to item Cite

Analysis of genetic risk factors for primary open angle glaucoma in Singaporean Chinese

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · June 1, 2015 Link to item Cite

Serum 25-Hydroxy Vitamin D and Age-related Macular Degeneration

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · June 1, 2015 Link to item Cite

Multiple ocular diseases detection based on joint sparse multi-task learning.

Conference Annu Int Conf IEEE Eng Med Biol Soc · 2015 In this paper, we present a multiple ocular diseases detection scheme based on joint sparse multi-task learning. Glaucoma, Pathological Myopia (PM), and Age-related Macular Degeneration (AMD) are three major causes of vision impairment and blindness worldw ... Full text Link to item Cite

Automatic feature learning for glaucoma detection based on deep learning

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2015 Glaucoma is a chronic and irreversible eye disease in which the optic nerve is progressively damaged, leading to deterioration in vision and quality of life. In this paper, we present an Automatic feature Learning for glAucomaDetection based onDeep LearnIN ... Full text Cite

Discriminative feature selection for multiple ocular diseases classification by sparse induced graph regularized group lasso

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2015 Glaucoma, Pathological Myopia (PM), and Age-related Macular Degeneration (AMD) are three leading ocular diseases worldwide. Visual features extracted from retinal fundus images have been increasingly used for detecting these three diseases. In this paper, ... Full text Cite

Automatic feature learning to grade nuclear cataracts based on deep learning

Conference Lecture Notes in Computer Science · January 1, 2015 Cataracts are a clouding of the lens and the leading cause of blindness worldwide. Assessing the presence and severity of cataracts is essential for diagnosis and progression monitoring, as well as to facilitate clinical research and management of the dise ... Full text Cite

Multi-scale superpixel classification for optic cup localization

Conference 2014 IEEE 11th International Symposium on Biomedical Imaging Isbi 2014 · July 29, 2014 In this paper, we present a multi-scale approach based on superpixel classification for optic cup localization. Our approach provides 3 major contributions. First, a contrast enhancement scheme is proposed to reduce illumination influence and enhance featu ... Full text Cite

Structural and functional differences in Glaucoma Patients with Disc Haemorrhage

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · April 1, 2014 Link to item Cite

Higher Serum Leptin Levels Are Protective of Age-related Macular Degeneration

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · April 1, 2014 Link to item Cite

Serum Cystatin C, Markers of Chronic Kidney Disease and Retinopathy in Indians with Diabetes

Conference INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE · April 2014 Link to item Cite

Automated segmentation of white matter lesions using global neighbourhood given contrast feature-based random forest and markov random field

Conference Proceedings 2014 IEEE International Conference on Healthcare Informatics Ichi 2014 · March 2, 2014 Recent studies show that, cerebral White MatterLesion (WML) is related to cerebrovascular diseases,cardiovascular diseases, dementia and psychiatric disorders.Manual segmentation of WML is not appropriate for long termlongitudinal studies because it is tim ... Full text Cite

Local patch reconstruction framework for optic cup localization in glaucoma detection.

Conference Annu Int Conf IEEE Eng Med Biol Soc · 2014 Optic cup localization/segmentation has attracted much attention from medical imaging researchers, since it is the primary image component clinically used for identifying glaucoma, which is a leading cause of blindness. In this work, we present an optic cu ... Full text Link to item Cite

Multiple modality fusion for glaucoma diagnosis

Conference Ifmbe Proceedings · January 1, 2014 Computer-aided diagnosis for diagnosis/ screening makes use of artificial intelligence based analytical methodologies to handle patient data. Ocular disease Glaucoma is the major irreversible cause of blindness. Past works focus on building systems on sing ... Full text Cite

Transformed representations for convolutional neural networks in diabetic retinopathy screening

Conference Aaai Workshop Technical Report · January 1, 2014 Convolutional neural networks (CNNs) are flexible, biologically-inspired variants of multi-layer perceptions that have proven themselves to be exceptionally suited to discriminative vision tasks. However, relatively little is known on whether they can be m ... Cite

Automated quantification of retinal arteriovenous nicking from colour fundus images

Conference Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS · October 31, 2013 Retinal arteriovenous nicking (AV nicking) is the phenomenon where the venule is compressed or decreases in its caliber at both sides of an arteriovenous crossing. Recent research suggests that retinal AVN is associated with hypertension and cardiovascular ... Full text Cite

Self-assessment for optic disc segmentation

Conference Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS · October 31, 2013 Optic disc segmentation from retinal fundus image is a fundamental but important step in many applications such as automated glaucoma diagnosis. Very often, one method might work well on many images but fail on some other images and it is difficult to have ... Full text Cite

Optic disk localization by a robust fusion method

Conference Proceedings of SPIE - The International Society for Optical Engineering · June 5, 2013 The optic disk localization plays an important role in developing computer-aided diagnosis (CAD) systems for ocular diseases such as glaucoma, diabetic retinopathy and age-related macula degeneration. In this paper, we propose an intelligent fusion of meth ... Full text Cite

Automatic detection of retinal vascular landmark features for colour fundus image matching and patient longitudinal study

Conference 2013 IEEE International Conference on Image Processing Icip 2013 Proceedings · January 1, 2013 Retinal vascular landmark points such as branching points and crossovers are important features for automatic retinal image matching and vascular abnormality detection. These landmark points can enable automatic screening of large dataset through the detec ... Full text Cite

Automatic notch detection in retinal images

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2013 This paper presents a new method to detect notching in the optic cup using retinal images. Optic cup notching is an important feature in differentiating normal from glaucomatous eyes. The proposed notching detection method comprises four steps: disc and ve ... Full text Cite

THALIA - An automatic hierarchical analysis system to detect drusen lesion images for amd assessment

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2013 Age-related macular degeneration (AMD) is a leading cause of permanent blindness. In its early stage AMD is characterized by drusen which are extracellelur deposits in the retina. In this paper, we present THALIA, an automatic system for the detection of d ... Full text Cite

Domain prior based superpixel propagation for optic cup localization

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2013 In this paper, we present an unsupervised framework using domain priors extracted from the primary structures of the optic nerve head for automated optic cup localization. Our approach provides 3 major contributions. First, we identify a new domain prior, ... Full text Cite

Learn to recognize pathological myopia in fundus images using bag-of-feature and sparse learning approach

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2013 Pathological myopia is a leading cause of visual impairment, and can lead to blindness in children if left undetected. We present a bag-of-feature and sparse learning based framework to automatically recognize pathological myopia in retinal fundus images a ... Full text Cite

Automatic grading of cortical and PSC cataracts using retroillumination lens images

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2013 In this paper, we propose an automatic approach to grade cortical and Posterior Sub-Capsular (PSC) cataracts using retroillumination images. Low-level vision features are used to characterize the photometric appearances and geometric structures of cortical ... Full text Cite

Superpixel classification based optic disc segmentation

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2013 Optic disc segmentation in retinal fundus images is important in computer aided diagnosis. In this paper, an optic disc segmentation method based on superpixel classification is proposed. In the classification, histograms from contrast enhanced image chann ... Full text Cite

SU‐E‐T‐138: Range Verification for Proton Therapy Systems: A Multi‐Center Study

Conference Medical Physics · January 1, 2013 Purpose: Proton beams have finite range and spare normal tissues distal to the target. Accurate determination and routine verification of proton range are critical in proton therapy, but depends on measurement device and method and could vary with proton c ... Full text Cite

Early age-related macular degeneration detection by focal biologically inspired feature

Conference Proceedings International Conference on Image Processing Icip · December 1, 2012 Age-related macular degeneration (AMD) is a leading cause of vision loss. The presence of drusen are often associated to AMD. Drusen are tiny yellowish-white extracellular buildup present around the macular region of the retina. Clinically, ophthalmologist ... Full text Cite

Automatic fovea detection in retinal fundus images

Conference Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications Iciea 2012 · December 1, 2012 T The fovea (centre of the retinal macula region) is responsible for central vision. Conditions which can affect the macula region in particular include AMD and macular oedema, which lead to a direct loss in visual acuity due to the effect on central visio ... Full text Cite

Automatic pupil detection on retro-illumination lens images from a population-based study

Conference Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications Iciea 2012 · December 1, 2012 Automatic detection of the pupil is an important step in cataract assessment. This paper proposes a new pupil detection method which addresses the challenges faced in current methods employed for this task. We evaluate the performance of the proposed metho ... Full text Cite

Automated segmentation of optic disc and optic cup in fundus images for glaucoma diagnosis

Conference Proceedings IEEE Symposium on Computer Based Medical Systems · October 16, 2012 The vertical Cup-to-Disc Ratio (CDR) is an important indicator in the diagnosis of glaucoma. Automatic segmentation of the optic disc (OD) and optic cup is crucial towards a good computer-aided diagnosis (CAD) system. This paper presents a statistical mode ... Full text Cite

Peripapillary atrophy detection by biologically inspired feature

Conference Proceedings International Conference on Pattern Recognition · January 1, 2012 Peripapillary atrophy (PPA) is an atrophy of preexisting retina tissue. Because of its association with eye diseases such as myopia and glaucoma, it is important to determine the presence of PPA clinically. Experienced ophthalmologists are able to determin ... Cite

Automatic localization of the macula in a supervised graph-based approach with contextual superpixel features

Conference Proceedings International Conference on Pattern Recognition · January 1, 2012 Localization of the macula centre is an important step in retinal image analysis, in particular for macular disease. We propose the use of a superpixelbased approach for macular localization. Features are extracted from the superpixels, including a propose ... Cite

Efficient optic cup localization based on superpixel classification for glaucoma diagnosis in digital fundus images

Conference Proceedings International Conference on Pattern Recognition · January 1, 2012 Optic cup is the primary image indicator clinically used for identifying glaucoma. To automatically localize the optic cup in fundus images, an effective and efficient superpixel classification based approach is proposed in this work, which maintains both ... Cite

Detecting the optic cup excavation in retinal fundus images by automatic detection of vessel kinking

Conference Proceedings International Conference on Pattern Recognition · January 1, 2012 Identifying the boundary of the optic cup excavation is of critical importance in the assessment of glaucomatous risk. Currently, most approaches are focused on the use of pallor. We present an automatic method to determine the cup excavation boundary base ... Cite

Automatic detection of the optic cup using vessel kinking in digital retinal fundus images

Conference Proceedings International Symposium on Biomedical Imaging · January 1, 2012 Detection of the optic cup, which is an excavation in the optic disc, is an essential step in glaucoma assessment. In digital fundus photography, which captures 2D images of the retina, identification of the optic cup can be challenging. Kinks are bendings ... Full text Cite

Computer-aided cataract detection using enhanced texture features on retro-illumination lens images

Conference Proceedings International Conference on Image Processing Icip · December 1, 2011 Cataract is a leading cause of blindness worldwide. Computer-aided cataract detection is two-fold significant. Firstly, it will be helpful in mass screening. Secondly, it can be used as the preprocessing step for computer-aided grading. In this paper, the ... Full text Cite

Lens image registration for cataract detection

Conference Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications Iciea 2011 · September 5, 2011 Cataract is the leading cause of blindness worldwide. In this paper, registration of retroillumination image is investigated for detection of cortical and posterior subcapsular cataract (PSC). The pupil region is detected by local entropy filtering. The an ... Full text Cite

A new and efficient vessel segmentation method from color retinal images

Conference Biosignals 2011 Proceedings of the International Conference on Bio Inspired Systems and Signal Processing · July 18, 2011 Retinal blood vessel changes (e.g., vessel caliber) are important indicators for earlier diagnosis of cardiovascular diseases. To quantify the changes automatically, a reliable vessel detection is essential. However, blood vessel detection in retinal image ... Cite

An automated method for retinal image matching using vascular features

Conference Biosignals 2011 Proceedings of the International Conference on Bio Inspired Systems and Signal Processing · July 18, 2011 In this paper, we propose a method for retinal image matching that can be used in image matching for person identification or patient longitudinal study. Vascular invariant features are extracted from the retinal image and a feature vector is constructed f ... Cite

Automatic optic disc segmentation based on image brightness and contrast

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · December 1, 2010 Untreated glaucoma leads to permanent damage of the optic nerve and resultant visual field loss, which can progress to blindness. As glaucoma often produces additional pathological cupping of the optic disc (OD), cupdisc- ratio is one measure that is widel ... Full text Cite

AGLAIA system architecture for glaucoma diagnosis

Conference Apsipa ASC 2010 Asia Pacific Signal and Information Processing Association Annual Summit and Conference · December 1, 2010 The AGLAIA (Automatic GLaucoma Diagnosis and Its Genetic Association Study through Medical Image InformAtics) system architecture is proposed to address the automatic diagnosis of Glaucoma. Instead of using single image feature, AGLAIA measures the charact ... Cite

Content-based medical image retrieval with metric learning via rank correlation

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · October 25, 2010 A novel content-based medical image retrieval method with metric learning via rank correlation is proposed in this paper. A new rank correlation measure is proposed to learn a metric encoding the pairwise similarity between images via direct optimization. ... Full text Cite

Retinal stroke prediction using logistic-based fusion of multiscale fractal analysis

Conference 2010 IEEE International Conference on Imaging Systems and Techniques Ist 2010 Proceedings · October 18, 2010 Medical images enhanced at different scales have shown to give good results in mammogram enhancement, tumor classification, and lung nodule detection. However, the studies of multiscale analysis on retinal vasculature have been primarily limited to vessel ... Full text Cite

Method of detecting kink-bearing vessels in a retinal fundus image

Conference Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications Iciea 2010 · September 1, 2010 Glaucoma is the second leading cause of blindness worldwide. The risk of glaucoma can be determined by calculating the cup to disc ratio in retinal fundus images. To accurately detect the optic cup, kinks or bends in small and medium vessels are important ... Full text Cite

Fusion of pixel and texture features to detect pathological myopia

Conference Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications Iciea 2010 · September 1, 2010 Myopia is a growing concern in many societies. In extremely high myopia, pathological myopia, which can cause visual loss, can occur. Pathological myopia is also accompanied by various visually perceivable symptoms on the retina, such as peripapillary atro ... Full text Cite

Automated layer segmentation of optical coherence tomography images

Conference Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications Iciea 2010 · September 1, 2010 By measuring the thickness of the retinal nerve fiber layer, retinal optical coherence tomography (OCT) images are now increasingly used for the diagnosis of glaucoma. This paper reports an automatic OCT layer segmentation technique that can be used for co ... Full text Cite

Optic disc region of interest localization in fundus image for glaucoma detection in ARGALI

Conference Proceedings of the 2010 5th IEEE Conference on Industrial Electronics and Applications Iciea 2010 · September 1, 2010 Glaucoma is the second leading cause of permanent blindness worldwide. Glaucoma can be diagnosed through measurement of neuro-retinal optic cup-to-disc ratio (CDR). Correctly determining the optic disc region of interest (ROI) will produce a smaller initia ... Full text Cite

Diabetic retinopathy.

Conference Lancet · July 10, 2010 Diabetic retinopathy is a common and specific microvascular complication of diabetes, and remains the leading cause of preventable blindness in working-aged people. It is identified in a third of people with diabetes and associated with increased risk of l ... Full text Link to item Cite

Feature analysis in slit-lamp image for nuclear cataract diagnosis

Conference Proceedings 2010 3rd International Conference on Biomedical Engineering and Informatics Bmei 2010 · January 1, 2010 Nuclear cataract is the most common type of age-related cataract and it is clinically diagnosed using slit-lamp images. Objective measurement of the features in slit-lamp image is investigated using a computerized software system. The correlation between t ... Full text Cite

Vessel segmentation from color retinal images with varying contrast and central reflex properties

Conference Proceedings 2010 Digital Image Computing Techniques and Applications Dicta 2010 · January 1, 2010 Clinical research suggests that changes in the retinal blood vessels (e.g., vessel caliber) are important indicators for earlier diagnosis of diabetes and cardiovascular diseases. Reliable vessel detection or segmentation is a prerequisite for quantifiable ... Full text Cite

Automatic classification of pathological myopia in retinal fundus images using PAMELA

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2010 Pathological myopia is the seventh leading cause of blindness. We introduce a framework based on PAMELA (PAthological Myopia dEtection through peripapilLary Atrophy) for the detection of pathological myopia from fundus images. The framework consists of a p ... Full text Cite

Classification of left and right eye retinal images

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2010 Retinal image analysis is used by clinicians to diagnose and identify, if any, pathologies present in a patient's eye. The developments and applications of computer-aided diagnosis (CAD) systems in medical imaging have been rapidly increasing over the year ... Full text Cite

Enhancement of optic cup detection through an improved vessel kink detection framework

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · January 1, 2010 Glaucoma is a leading cause of blindness. The presence and extent of progression of glaucoma can be determined if the optic cup can be accurately segmented from retinal images. In this paper, we present a framework which improves the detection of the optic ... Full text Cite

ARGALI: An Automatic Cup-to-Disc Ratio Measurement System for Glaucoma Analysis Using Level-set Image Processing

Conference Ifmbe Proceedings · December 1, 2009 Glaucoma is a leading cause of blindness worldwide, accounting for 12.3% of the permanently blind according to the World Heath Organization. The disease is particularly prevalent in Asia, with up to 50% of total glaucoma cases found in the region. Although ... Full text Cite

Genome-wide Association study for glaucoma

Conference 2nd International Conference on Biomedical and Pharmaceutical Engineering Icbpe 2009 Conference Proceedings · December 1, 2009 The Genome-Wide Association (GWA) study is the latest approach in the development of genetic studies and is renowned for its widespread success in identifying disease variants within the genome for various common diseases. It is a highly popular study amon ... Full text Cite

Automatic detection of the macula in the retinal fundus image by detecting regions with low pixel intensity

Conference 2nd International Conference on Biomedical and Pharmaceutical Engineering Icbpe 2009 Conference Proceedings · December 1, 2009 This paper proposes a method to detect the macula in the retinal fundus image automatically. The method makes use of the optic disc height obtained from the ARGALI to define the region of interest. Regions of dark spots are then detected by finding the coo ... Full text Cite

Automatic Detection of Left and Right Eye in Retinal Fundus Images

Conference Ifmbe Proceedings · December 1, 2009 Retinal fundus images are commonly used by ophthalmologists to diagnose and monitor the development of eye diseases. One of the key information in the fundus images is to distinguish between the left and right eye. This work is motivated to provide an accu ... Full text Cite

Enhancement of optic cup detection from ARGALI using key points

Conference 2nd International Conference on Biomedical and Pharmaceutical Engineering Icbpe 2009 Conference Proceedings · December 1, 2009 We propose a method for improving the accuracy of the optic cup detected from the ARGALI system. This method makes use of key points from the branching points of large vessels, the analysis of intensity variation and kinks from small vessels to obtain an e ... Full text Cite

ARGALI- An automatic cup-to-disc ratio measurement system for Glaucoma detection and analysis framework

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · June 15, 2009 Glaucoma is an irreversible ocular disease leading to permanent blindness. However, early detection can be effective in slowing or halting the progression of the disease. Physiologically, glaucoma progression is quantified by increased excavation of the op ... Full text Cite

Automated detection of kinks from blood vessels for optic cup segmentation in retinal images

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · June 15, 2009 The accurate localization of the optic cup in retinal images is important to assess the cup to disc ratio (CDR) for glaucoma screening and management. Glaucoma is physiologically assessed by the increased excavation of the optic cup within the optic nerve ... Full text Cite

Computerized systems for cataract grading

Conference Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics Bmei 2009 · January 1, 2009 Cataract is the leading cause of blindness worldwide. Two automatic grading systems are presented in this paper for nuclear cataract and cortical cataract diagnosis respectively. Model-based approach was applied to detect anatomical structure in slit-lamp ... Full text Cite

Neuro-retinal optic cup detection in glaucoma diagnosis

Conference Proceedings of the 2009 2nd International Conference on Biomedical Engineering and Informatics Bmei 2009 · January 1, 2009 Glaucoma is the one of the two major causes of blindness, which can be diagnosed through measurement of neuro-retinal optic cup-to-disc ratio (CDR). Automatic calculation of optic cup boundary is challenging due to the interweavement of blood vessels with ... Full text Cite

Automatic fundus image classification for computer-aided diagonsis.

Conference Annu Int Conf IEEE Eng Med Biol Soc · 2009 With the advances of computer technology, more and more computer-aided diagnosis (CAD) systems have been developed to provide the "second opinion". This paper reports an automatic fundus image classification technique that is designed to screen out the sev ... Full text Link to item Cite

A new and efficient method for automatic optic disc detection using geometrical features

Conference Ifmbe Proceedings · January 1, 2009 Automatic optic disc (OD) detection is a key processing step in algorithms aiming for automatic extraction of retinal vascular abnormalities for diagnosing cardiovascular diseases and cup-to-disc ratio assessment for diagnosing glaucoma. In this paper, we ... Full text Cite

Convex hull based neuro-retinal optic cup ellipse optimization in glaucoma diagnosis.

Conference Annu Int Conf IEEE Eng Med Biol Soc · 2009 Glaucoma is the second leading cause of blindness. Glaucoma can be diagnosed through measurement of neuro-retinal optic cup-to-disc ratio (CDR). Automatic calculation of optic cup boundary is challenging due to the interweavement of blood vessels with the ... Full text Link to item Cite

Photometric correction of retinal images by polynomial interpolation

Conference Proceedings International Conference on Image Processing Icip · January 1, 2009 This paper presents a photometric restoration technique that automatically corrects shading within retinal images taken with a fundus camera. The proposed technique is based on the observation that the background of retinal images usually shows flat reflec ... Full text Cite

TH‐C‐303A‐01: Initial Clinical Experience with Electromagnetic Localization and Tracking for External Beam Partial Breast Irradiation

Conference Medical Physics · January 1, 2009 Purpose: The Calypso® 4D Localization System™ (Calypso Medical) uses non‐ionizing AC electromagnetic radiation to localize and track small wireless devices (called Beacon® transponders) implanted in or near a patient's tumor. We report on the first clinica ... Full text Cite

Image based diagnosis of cortical cataract

Conference Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 08 Personalized Healthcare Through Technology · December 1, 2008 An automatic approach to detect cortical opacities and grade the severity of cortical cataract from retroillumination images is proposed. The spoke-like feature of cortical opacity is employed to separate from other opacity type. The proposed algorithms we ... Cite

Automatic opacity detection in retro-illumination images for cortical cataract diagnosis

Conference 2008 IEEE International Conference on Multimedia and Expo Icme 2008 Proceedings · October 23, 2008 Computer aided analysis of medical images, a unique type of non-text media, can facilitate clinical diagnosis. As an example, an automatic opacity detection approach is proposed in this paper to grade cortical cataract more objectively. The automatic pupil ... Full text Cite

Computer aided diagnosis of nuclear cataract

Conference 2008 3rd IEEE Conference on Industrial Electronics and Applications Iciea 2008 · September 23, 2008 An approach to automatically diagnose nuclear cataract based on the slit-lamp image is proposed in this paper. Model-based approach is investigated to detect robust lens structure. Based on the detected lens structure, the mean intensity, the color informa ... Full text Cite

Optic cup and disk extraction from retinal fundus images for determination of cup-to-disc ratio

Conference 2008 3rd IEEE Conference on Industrial Electronics and Applications Iciea 2008 · September 23, 2008 The ratio of the optic cup to disc (CDR) in retinal fundus images is one of the principal physiological characteristics in the diagnosis of glaucoma. Currently the CDR is manually determined which can be subjective and limits its use in mass screening. To ... Full text Cite

Image based grading of nuclear cataract by SVM regression

Conference Progress in Biomedical Optics and Imaging Proceedings of SPIE · June 2, 2008 Cataract is one of the leading causes of blindness worldwide. A computer-aided approach to assess nuclear cataract automatically and objectively is proposed in this paper. An enhanced Active Shape Model (ASM) is investigated to extract robust lens contour ... Full text Cite

The Cebu longitudinal health and nutrition survey: Two decades later

Conference Asia Pacific Population Journal · January 1, 2008 The Cebu Longitudinal Health and Nutrition Survey (CLHNS) is the longest health and nutrition longitudinal study ever conducted in the Philippines and possibly one of the longest in Asia. It started in 1983 with 3,327 pregnant women who, together with thei ... Full text Cite

A tree matching approach for the temporal registration of retinal images

Conference Proceedings International Conference on Tools with Artificial Intelligence Ictai · January 1, 2006 The temporal registration of retinal images provides an important groundwork for doctors to monitor the progression of diseases. Retinal image registration is challenging because the intensity of the retina and the vascular structure can vary greatly over ... Full text Cite

Reliability of computer-assisted retinal vessel measurementin a population.

Conference Clin Exp Ophthalmol · June 2002 The purpose of the study was to assess the intergrader and intragrader reliability of computer-assisted retinal vessel dia-meter measurement in a defined, community-based population. Retinal photographs from participants in the Blue Mountains Eye Study wer ... Full text Link to item Cite