# Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks

Source: [Pathological OCT Retinal Layer Segmentation using Branch Residual U-shape Networks](<https://www.sota2.com/research/paper/68fa63851e209131ce9ff3a7>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T20:43:17.087Z

Authors: Stefanos Apostolopoulos, Sandro De Zanet, Carlos Ciller, Sebastian Wolf, Raphael Sznitman

Published: 2017-07-16T19:17:16.000Z

## Abstract

The automatic segmentation of retinal layer structures enables clinically-relevant quantification and monitoring of eye disorders over time in OCT imaging. Eyes with late-stage diseases are particularly challenging to segment, as their shape is highly warped due to pathological biomarkers. In this context, we propose a novel fully Convolutional Neural Network (CNN) architecture which combines dilated residual blocks in an asymmetric U-shape configuration, and can segment multiple layers of highly pathological eyes in one shot. We validate our approach on a dataset of late-stage AMD patients and demonstrate lower computational costs and higher performance compared to other state-of-the-art methods.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

- [Photoreceptor Layer Segmentation on A (AMD (early, CNV), DME, RVO) (test)](<https://www.sota2.com/research/sota/photoreceptor-layer-segmentation-on-a-amd-early-cnv-dme-rvo-test.md>): Photoreceptor Layer Segmentation; A (AMD (early, CNV), DME, RVO) (test); AUC: 95.93.

- [Disruption Detection on A (AMD (early, CNV), DME, RVO) (test)](<https://www.sota2.com/research/sota/disruption-detection-on-a-amd-early-cnv-dme-rvo-test.md>): Disruption Detection; A (AMD (early, CNV), DME, RVO) (test); AUC: 26.21.

- [Disruption Detection on Late AMD (GA) set B (test)](<https://www.sota2.com/research/sota/disruption-detection-on-late-amd-ga-set-b-test.md>): Disruption Detection; Late AMD (GA) set B (test); AUC: 83.33.

- [Photoreceptor Layer Segmentation on Late AMD (GA) B (test)](<https://www.sota2.com/research/sota/photoreceptor-layer-segmentation-on-late-amd-ga-b-test.md>): Photoreceptor Layer Segmentation; Late AMD (GA) B (test); AUC: 92.95.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/1707.04931>)

[PDF](<https://arxiv.org/pdf/1707.04931.pdf>)