Georgia D. Tourassi

Journal Article Med Phys · November 2010 PURPOSE: Conventional computer-assisted detection (CADe) systems in screening mammography provide the same decision support to all users. The aim of this study was to investigate the potential of a context-sensitive CADe system which provides decision supp ... Full text Link to item Cite

Evaluating the effect of image preprocessing on an information-theoretic CAD system in mammography.

Journal Article Acad Radiol · May 2008 RATIONALE AND OBJECTIVES: In our earlier studies, we reported an evidence-based computer-assisted decision (CAD) system for location-specific interrogation of mammograms. A content-based image retrieval framework with information theoretic (IT) similarity ... Full text Link to item Cite

Information-theoretic CAD system in mammography: entropy-based indexing for computational efficiency and robust performance.

Journal Article Med Phys · August 2007 We have previously presented a knowledge-based computer-assisted detection (KB-CADe) system for the detection of mammographic masses. The system is designed to compare a query mammographic region with mammographic templates of known ground truth. The templ ... Full text Link to item Cite

Reliability analysis framework for computer-assisted medical decision systems.

Journal Article Med Phys · February 2007 Featured Publication We present a technique that enhances computer-assisted decision (CAD) systems with the ability to assess the reliability of each individual decision they make. Reliability assessment is achieved by measuring the accuracy of a CAD system with known cases si ... Full text Link to item Cite

Evaluation of information-theoretic similarity measures for content-based retrieval and detection of masses in mammograms.

Journal Article Med Phys · January 2007 Featured Publication The purpose of this study was to evaluate image similarity measures employed in an information-theoretic computer-assisted detection (IT-CAD) scheme. The scheme was developed for content-based retrieval and detection of masses in screening mammograms. The ... Full text Link to item Cite

Recent advances in chest radiography.

Journal Article Radiology · December 2006 Featured Publication There have been many remarkable advances in conventional thoracic imaging over the past decade. Perhaps the most remarkable is the rapid conversion from film-based to digital radiographic systems. Computed radiography is now the preferred imaging modality ... Full text Link to item Cite

Introduction to neutron stimulated emission computed tomography.

Journal Article Phys Med Biol · July 21, 2006 Featured Publication Neutron stimulated emission computed tomography (NSECT) is presented as a new technique for in vivo tomographic spectroscopic imaging. A full implementation of NSECT is intended to provide an elemental spectrum of the body or part of the body being interro ... Full text Link to item Cite

Impact of missing data in evaluating artificial neural networks trained on complete data.

Journal Article Comput Biol Med · May 2006 Featured Publication This study investigated the impact of missing data in the evaluation of artificial neural network (ANN) models trained on complete data for the task of predicting whether breast lesions are benign or malignant from their mammographic Breast Imaging and Rep ... Full text Link to item Cite

A study on the computerized fractal analysis of architectural distortion in screening mammograms.

Journal Article Phys Med Biol · March 7, 2006 Featured Publication Architectural distortion (AD) is a sign of malignancy often missed during mammographic interpretation. The purpose of this study was to explore the application of fractal analysis to the investigation of AD in screening mammograms. The study was performed ... Full text Link to item Cite

Feature and knowledge based analysis for reduction of false positives in the computerized detection of masses in screening mammography.

Journal Article Conf Proc IEEE Eng Med Biol Soc · 2005 Featured Publication Previously we presented a morphologic concentric layered (MCL) algorithm for the detection of masses in screening mammograms. The algorithm achieved high sensitivity (92%) but it also generated 3.26 false positives (FPs) per image. In the present study we ... Full text Link to item Cite

Decision tree classification of proteins identified by mass spectrometry of blood serum samples from people with and without lung cancer.

Journal Article Proteomics · September 2003 Featured Publication A classification and regression tree (CART) model was trained to classify 41 clinical specimens as disease/nondisease based on 26 variables computed from the mass-to-charge ratio (m/z) and peak heights of proteins identified by mass spectroscopy. The CART ... Full text Link to item Cite

Computer-assisted detection of mammographic masses: a template matching scheme based on mutual information.

Journal Article Med Phys · August 2003 Featured Publication The purpose of this study was to develop a knowledge-based scheme for the detection of masses on digitized screening mammograms. The computer-assisted detection (CAD) scheme utilizes a knowledge databank of mammographic regions of interest (ROIs) with know ... Full text Link to item Cite

Self-organizing map for cluster analysis of a breast cancer database.

Journal Article Artif Intell Med · February 2003 Featured Publication The purpose of this study was to identify and characterize clusters in a heterogeneous breast cancer computer-aided diagnosis database. Identification of subgroups within the database could help elucidate clinical trends and facilitate future model buildin ... Full text Link to item Cite

Perceptron error surface analysis: a case study in breast cancer diagnosis.

Journal Article Comput Biol Med · March 2002 Featured Publication Perceptrons are typically trained to minimize mean square error (MSE). In computer-aided diagnosis (CAD), model performance is usually evaluated according to other more clinically relevant measures. The purpose of this study was to investigate the relation ... Full text Link to item Cite

Application of the mutual information criterion for feature selection in computer-aided diagnosis.

Journal Article Med Phys · December 2001 Featured Publication The purpose of this study was to investigate an information theoretic approach to feature selection for computer-aided diagnosis (CAD). The approach is based on the mutual information (MI) concept. MI measures the general dependence of random variables wit ... Full text Link to item Cite

A neural network approach to breast cancer diagnosis as a constraint satisfaction problem.

Journal Article Med Phys · May 2001 Featured Publication A constraint satisfaction neural network (CSNN) approach is proposed for breast cancer diagnosis using mammographic and patient history findings. Initially, the diagnostic decision to biopsy was formulated as a constraint satisfaction problem. Then, an ass ... Full text Link to item Cite

Multifractal texture analysis of perfusion lung scans as a potential diagnostic tool for acute pulmonary embolism.

Journal Article Comput Biol Med · January 2001 Featured Publication A computer-assisted diagnostic (CAD) tool was developed for the diagnosis of acute pulmonary embolism (PE) in perfusion lung scans. Forty-five scans (with angiographic proof) were included in the study. The CAD tool was composed of two modules. The first m ... Full text Link to item Cite

Case-based reasoning computer algorithm that uses mammographic findings for breast biopsy decisions.

Journal Article AJR Am J Roentgenol · November 2000 Featured Publication OBJECTIVE: We present case-based reasoning computer software developed from mammographic findings to provide support for the clinical decision to perform biopsy of the breast. SUBJECTS AND METHODS: The case-based reasoning system is designed to support the ... Full text Link to item Cite

Fractal texture analysis of perfusion lung scans.

Journal Article Comput Biomed Res · June 2000 Featured Publication The purpose of this study is to investigate if fractal texture analysis can assist in the diagnostic interpretation of perfusion lung scans. Forty-five perfusion scans were acquired from patients with clinical suspicion of acute pulmonary embolism (PE) who ... Full text Link to item Cite

Journey toward computer-aided diagnosis: role of image texture analysis.

Journal Article Radiology · November 1999 Featured Publication Full text Link to item Cite

Acute pulmonary embolism: cost-effectiveness analysis of the effect of artificial neural networks on patient care.

Journal Article Radiology · January 1998 Featured Publication PURPOSE: To evaluate the cost-effectiveness of artificial neural networks for diagnosis in patients suspected of having acute pulmonary embolism who are typically referred for pulmonary angiography. MATERIALS AND METHODS: Four diagnostic strategies were ex ... Full text Link to item Cite

The effect of data sampling on the performance evaluation of artificial neural networks in medical diagnosis.

Journal Article Med Decis Making · 1997 Featured Publication PURPOSE: To study the effect of data sampling on the predictive assessment of artificial neural networks (ANNs) for medical diagnostic tasks. METHODS: Three statistical techniques were used to evaluate the diagnostic performances of ANNs: 1) cross validati ... Full text Link to item Cite

Improved noninvasive diagnosis of acute pulmonary embolism with optimally selected clinical and chest radiographic findings.

Journal Article Acad Radiol · December 1996 Featured Publication RATIONALE AND OBJECTIVES: The authors improved the noninvasive diagnosis of acute pulmonary embolism (PE) by studying the clinical and chest radiographic findings of patients suspected of having PE and correlating those findings with the physicians' clinic ... Full text Link to item Cite

Lesion size quantification in SPECT using an artificial neural network classification approach.

Journal Article Comput Biomed Res · June 1995 Featured Publication An artificial neural network (ANN) has been developed to determine the size of lesions detected in single photon emission computed tomographic images. The network is the Learning Vector Quantizer and is trained to perform size quantification based on image ... Full text Link to item Cite

Artificial neural network for diagnosis of acute pulmonary embolism: effect of case and observer selection.

Journal Article Radiology · March 1995 Featured Publication PURPOSE: To compare the diagnostic performance of an artificial neural network (ANN) with that of physicians in patients with suspected pulmonary embolism (PE). MATERIALS AND METHODS: An ANN was developed to predict PE by using findings from ventilation-pe ... Full text Link to item Cite

Acute pulmonary embolism: artificial neural network approach for diagnosis.

Journal Article Radiology · November 1993 Featured Publication PURPOSE: To investigate use of an artificial neural network (ANN) as a computer-aided diagnostic (CAD) tool for predicting pulmonary embolism (PE) from ventilation-perfusion lung scans and chest radiographs. MATERIALS AND METHODS: The data base consisted o ... Full text Link to item Cite

Artificial neural networks for single photon emission computed tomography. A study of cold lesion detection and localization.

Journal Article Invest Radiol · August 1993 Featured Publication RATIONALE AND OBJECTIVES: An artificial neural network was developed for cold lesion detection and localization in single photon emission computed tomography (SPECT) images. METHODS: The network was trained for several noise levels and lesion sizes to iden ... Full text Link to item Cite

An artificial neural network for lesion detection on single-photon emission computed tomographic images.

Journal Article Invest Radiol · September 1992 Featured Publication RATIONALE AND OBJECTIVES: An artificial neural network (ANN) has been developed to detect nonactive circular lesions on single-slice, single-photon emission computed tomographic (SPECT) images reconstructed using filtered back projection (FBP). METHODS: Th ... Full text Link to item Cite