Robust Retinal Layer Segmentation Using OCT B-Scans: A Novel Approach Based on Pix2Pix Generative Adversarial Network

Author:

Gadari Adarsh1ORCID,Chandra Bollepalli Sandeep2ORCID,Ibrahim Mohammed Nasar2ORCID,Jose´-Alian Sahel3ORCID,Chhablani Jay3ORCID,Suthaharan Shan4ORCID,Kumar Vupparaboina Kiran2ORCID

Affiliation:

1. University of North Carolina at Greensboro, Greensboro, North Carolina, USA

2. University of Pittsburgh, PITTSBURGH, PA, USA

3. University of Pittsburgh School of Medicine, PITTSBURGH, PA, USA

4. University of North Carolina at Greensboro, Greensboro, USA

Funder

Shear Family Foundation

NIH Core Grant

Research to prevent blindness

Publisher

ACM

Reference32 articles.

1. Annie Chan , Jay S Duker , Hiroshi Ishikawa , Tony H Ko , Joel S Schuman , and James G Fujimoto . 2006. Quantification of photoreceptor layer thickness in normal eyes using optical coherence tomography. Retina (Philadelphia , Pa.) 26, 6 ( 2006 ), 655. Annie Chan, Jay S Duker, Hiroshi Ishikawa, Tony H Ko, Joel S Schuman, and James G Fujimoto. 2006. Quantification of photoreceptor layer thickness in normal eyes using optical coherence tomography. Retina (Philadelphia, Pa.) 26, 6 (2006), 655.

2. Stephanie J Chiu , Xiao T Li , Peter Nicholas , Cynthia A Toth , Joseph A Izatt , and Sina Farsiu . 2010. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. Optics express 18, 18 ( 2010 ), 19413--19428. Stephanie J Chiu, Xiao T Li, Peter Nicholas, Cynthia A Toth, Joseph A Izatt, and Sina Farsiu. 2010. Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation. Optics express 18, 18 (2010), 19413--19428.

3. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

4. Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting

5. Towards Diverse and Natural Image Descriptions via a Conditional GAN

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