# Corneal Nerve Fiber Segmentation on CORN-1 (test)

Source: [Corneal Nerve Fiber Segmentation on CORN-1 (test)](<https://www.sota2.com/research/sota/corneal-nerve-fiber-segmentation-on-corn-1-test>)

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

Data updated: 2026-06-23T09:23:23.173Z

Evaluation of Corneal Nerve Fiber Segmentation performance on the test split of the CORN-1 dataset, reporting metrics including Dice, IoU, Sensitivity, Precision, MCC, and AUC metrics.

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 | Corneal Nerve Fiber Segmentation |
| Dataset (including any stated split) | CORN-1 (test) |
| Metric | Sensitivity |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 11 of 11 |
| 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

- [Sensitivity](<https://www.sota2.com/research/sota/corneal-nerve-fiber-segmentation-on-corn-1-test.md?metric=Sensitivity>): Higher is better; unit: PERCENT.

- [Dice](<https://www.sota2.com/research/sota/corneal-nerve-fiber-segmentation-on-corn-1-test.md?metric=Dice>): Higher is better; unit: PERCENT.

- [IoU](<https://www.sota2.com/research/sota/corneal-nerve-fiber-segmentation-on-corn-1-test.md?metric=IoU>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/corneal-nerve-fiber-segmentation-on-corn-1-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Specificity](<https://www.sota2.com/research/sota/corneal-nerve-fiber-segmentation-on-corn-1-test.md?metric=Specificity>): Higher is better; unit: PERCENT.

- [Accuracy](<https://www.sota2.com/research/sota/corneal-nerve-fiber-segmentation-on-corn-1-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [MCC](<https://www.sota2.com/research/sota/corneal-nerve-fiber-segmentation-on-corn-1-test.md?metric=MCC>): Higher is better; unit: PERCENT.

- [AUC-ROC](<https://www.sota2.com/research/sota/corneal-nerve-fiber-segmentation-on-corn-1-test.md?metric=AUC-ROC>): Higher is better; unit: PERCENT.

- [AUC-PR](<https://www.sota2.com/research/sota/corneal-nerve-fiber-segmentation-on-corn-1-test.md?metric=AUC-PR>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Sensitivity | Result date | Report paper |
| --- | --- | --- | --- |
| CurvSegFlow | 86.52 | Not recorded | 6a3a134e206542251d7c72a5 |
| CS2Net 2020 | 83.98 | Not recorded | 6a3a134e206542251d7c72a5 |
| YoloCurvSeg 2023 | 67.6 | Not recorded | 6a3a134e206542251d7c72a5 |
| PCT-Net 2025 | 58.9 | Not recorded | 6a3a134e206542251d7c72a5 |
| Pix2Pix cGAN 2017 | 56.2 | Not recorded | 6a3a134e206542251d7c72a5 |
| U-Net 2015 | 54.84 | Not recorded | 6a3a134e206542251d7c72a5 |
| Att-UNet 2018 | 53.5 | Not recorded | 6a3a134e206542251d7c72a5 |
| M-Net 2017 | 53.1 | Not recorded | 6a3a134e206542251d7c72a5 |
| DAANet 2022 | 52.85 | Not recorded | 6a3a134e206542251d7c72a5 |
| CNS-Net 2020 | 46.02 | Not recorded | 6a3a134e206542251d7c72a5 |
| UCTransNet 2022 | 43.5 | Not recorded | 6a3a134e206542251d7c72a5 |

### CurvSegFlow

Sensitivity: 86.52. Result ID: 6a3a507bfbc373592c35b44e.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

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

### CS2Net 2020

Sensitivity: 83.98. Result ID: 6a3a507bfbc373592c35b449.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa688c1e209131cea1cdda.md>)

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

### YoloCurvSeg 2023

Sensitivity: 67.6. Result ID: 6a3a507bfbc373592c35b44c.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70541e209131cea4a45a.md>)

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

### PCT-Net 2025

Sensitivity: 58.9. Result ID: 6a3a507bfbc373592c35b44d.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

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

### Pix2Pix cGAN 2017

Sensitivity: 56.2. Result ID: 6a3a507bfbc373592c35b446.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65151e209131cea0821e.md>)

[Implementation](<https://github.com/phillipi/pix2pix>)

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

### U-Net 2015

Sensitivity: 54.84. Result ID: 6a3a507bfbc373592c35b444.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.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.

### Att-UNet 2018

Sensitivity: 53.5. Result ID: 6a3a507bfbc373592c35b447.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa645e1e209131cea040df.md>)

[Implementation](<https://github.com/ozan-oktay/Attention-Gated-Networks>)

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

### M-Net 2017

Sensitivity: 53.1. Result ID: 6a3a507bfbc373592c35b445.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

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

### DAANet 2022

Sensitivity: 52.85. Result ID: 6a3a507bfbc373592c35b44a.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

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

### CNS-Net 2020

Sensitivity: 46.02. Result ID: 6a3a507bfbc373592c35b448.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

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

### UCTransNet 2022

Sensitivity: 43.5. Result ID: 6a3a507bfbc373592c35b44b.

[Reporting paper](<https://www.sota2.com/research/paper/6a3a134e206542251d7c72a5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6ba01e209131cea2f63c.md>)

[Implementation](<https://github.com/McGregorWwww/UCTransNet>)

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

Page 1 of 1. This is an index page, not the full collection.
