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Automatic Foveal Avascular Zone Segmentation Using Hessian-Based Filter and U-Net Deep Learning Network

Publication ,  Conference
Nguyen, QN; Nguyen, VTQ; Hsu, T; Vajzovic, L; Ngo, HT
Published in: IFMBE Proceedings
January 1, 2022

Accurate segmentation of Foveal Avascular Zone (FAZ) in Optical Coherence Tomography Angiography (OCTA) images is important for OCTA images analysis. In this work, we developed an algorithm for automatic segmentation of FAZ in OCTA images using a Hessian-based filter and an U-Net deep learning network. A total of 260 OCTA images were used to train and test the algorithm. The images were first enhanced by a Hessian-based filter and then fed into a U-Net deep learning network. Eighty percent of the dataset was used for training and twenty percent was used for testing. Our method achieved 87.8% Jaccard Index (Intersection over Union metric) with 6% false-negative error and 5% false-positive error. The results showed that U-Net deep learning network could achieve good accuracy in automatically segmenting FAZ in OCTA images despite a small training set. The study also showed that image preprocessing techniques such as Hessian-based filtering helped to improve accuracy of U-Net deep learning network.

Duke Scholars

Published In

IFMBE Proceedings

DOI

EISSN

1433-9277

ISSN

1680-0737

ISBN

9783030755058

Publication Date

January 1, 2022

Volume

85

Start / End Page

835 / 842
 

Citation

APA
Chicago
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Nguyen, Q. N., Nguyen, V. T. Q., Hsu, T., Vajzovic, L., & Ngo, H. T. (2022). Automatic Foveal Avascular Zone Segmentation Using Hessian-Based Filter and U-Net Deep Learning Network. In IFMBE Proceedings (Vol. 85, pp. 835–842). https://doi.org/10.1007/978-3-030-75506-5_68
Nguyen, Q. N., V. T. Q. Nguyen, T. Hsu, L. Vajzovic, and H. T. Ngo. “Automatic Foveal Avascular Zone Segmentation Using Hessian-Based Filter and U-Net Deep Learning Network.” In IFMBE Proceedings, 85:835–42, 2022. https://doi.org/10.1007/978-3-030-75506-5_68.
Nguyen QN, Nguyen VTQ, Hsu T, Vajzovic L, Ngo HT. Automatic Foveal Avascular Zone Segmentation Using Hessian-Based Filter and U-Net Deep Learning Network. In: IFMBE Proceedings. 2022. p. 835–42.
Nguyen, Q. N., et al. “Automatic Foveal Avascular Zone Segmentation Using Hessian-Based Filter and U-Net Deep Learning Network.” IFMBE Proceedings, vol. 85, 2022, pp. 835–42. Scopus, doi:10.1007/978-3-030-75506-5_68.
Nguyen QN, Nguyen VTQ, Hsu T, Vajzovic L, Ngo HT. Automatic Foveal Avascular Zone Segmentation Using Hessian-Based Filter and U-Net Deep Learning Network. IFMBE Proceedings. 2022. p. 835–842.
Journal cover image

Published In

IFMBE Proceedings

DOI

EISSN

1433-9277

ISSN

1680-0737

ISBN

9783030755058

Publication Date

January 1, 2022

Volume

85

Start / End Page

835 / 842