# Photoreceptor Layer Segmentation on A (AMD (early, CNV), DME, RVO) (test)

Source: [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>)

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

Data updated: 2026-02-26T05:24:23.921Z

Evaluation of Photoreceptor Layer Segmentation performance on the test split of the A dataset, which includes AMD (early, CNV), DME, and RVO sub-components.

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.

| Scope | Recorded value |
| --- | --- |
| Task | Photoreceptor Layer Segmentation |
| Dataset (including any stated split) | A (AMD (early, CNV), DME, RVO) (test) |
| Metric | AUC |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 6 of 6 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [AUC](<https://www.sota2.com/research/sota/photoreceptor-layer-segmentation-on-a-amd-early-cnv-dme-rvo-test.md?metric=AUC>): Higher is better; unit: PERCENT.

- [Dice Coeff](<https://www.sota2.com/research/sota/photoreceptor-layer-segmentation-on-a-amd-early-cnv-dme-rvo-test.md?metric=Dice%20Coeff>): Higher is better; unit: PERCENT.

## Recorded results

| Method | AUC | Result date | Report paper |
| --- | --- | --- | --- |
| U2-Net | 96.69 | Not recorded | 68fa66801e209131cea10b12 |
| U2-Net | 96.53 | Not recorded | 68fa66801e209131cea10b12 |
| BRU-Net | 95.93 | Not recorded | 68fa66801e209131cea10b12 |
| U-Net | 95.66 | Not recorded | 68fa66801e209131cea10b12 |
| BU-Net | 95.05 | Not recorded | 68fa66801e209131cea10b12 |
| BU-Net | 94.66 | Not recorded | 68fa66801e209131cea10b12 |

### U2-Net

AUC: 96.69. Result ID: 698cf56b8b517eb4331df9cf.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66801e209131cea10b12.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66801e209131cea10b12.md>)

Recorded evaluation configuration: {"Number of Monte Carlo samples (T)":10}. This record does not assert independent reproduction.

### U2-Net

AUC: 96.53. Result ID: 698cf56b8b517eb4331df9ce.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66801e209131cea10b12.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66801e209131cea10b12.md>)

Recorded evaluation configuration: {"Number of Monte Carlo samples (T)":1}. This record does not assert independent reproduction.

### BRU-Net

AUC: 95.93. Result ID: 698cf56b8b517eb4331df9cb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66801e209131cea10b12.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa63851e209131ce9ff3a7.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### U-Net

AUC: 95.66. Result ID: 698cf56b8b517eb4331df9ca.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66801e209131cea10b12.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61e11e209131ce9f653d.md>)

[Implementation](<http://lmb.informatik.uni-freiburg.de/people/ronneber/u-net>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### BU-Net

AUC: 95.05. Result ID: 698cf56b8b517eb4331df9cd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66801e209131cea10b12.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66801e209131cea10b12.md>)

Recorded evaluation configuration: {"Number of Monte Carlo samples (T)":10}. This record does not assert independent reproduction.

### BU-Net

AUC: 94.66. Result ID: 698cf56b8b517eb4331df9cc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa66801e209131cea10b12.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa66801e209131cea10b12.md>)

Recorded evaluation configuration: {"Number of Monte Carlo samples (T)":1}. This record does not assert independent reproduction.

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