# Ophthalmic Disease Classification on OCTDL

Source: [Ophthalmic Disease Classification on OCTDL](<https://www.sota2.com/research/sota/ophthalmic-disease-classification-on-octdl>)

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

Data updated: 2026-05-18T06:28:22.038Z

Evaluation of model performance for Ophthalmic Disease Classification using the OCTDL dataset, reporting AUC, F1, Precision, and Recall.

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 | Ophthalmic Disease Classification |
| Dataset (including any stated split) | OCTDL |
| Metric | F1 Score |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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

- [F1 Score](<https://www.sota2.com/research/sota/ophthalmic-disease-classification-on-octdl.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

- [AUC](<https://www.sota2.com/research/sota/ophthalmic-disease-classification-on-octdl.md?metric=AUC>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/ophthalmic-disease-classification-on-octdl.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/ophthalmic-disease-classification-on-octdl.md?metric=Recall>): Higher is better; unit: PERCENT.

## Recorded results

| Method | F1 Score | Result date | Report paper |
| --- | --- | --- | --- |
| Swin-Poly Transformer | 97.1 | Not recorded | 68fa7a461e209131cea82244 |
| VGG16 | 95.2 | Not recorded | 68fa7a461e209131cea82244 |
| CNN-MDD | 93.3 | Not recorded | 68fa7a461e209131cea82244 |
| HDL-ACO | 92.4 | Not recorded | 68fa7a461e209131cea82244 |

### Swin-Poly Transformer

F1 Score: 97.1. Result ID: 6a0ab17247f34ce924f01fc1.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7a461e209131cea82244.md>)

Recorded evaluation configuration: {"Venue(Year)":"Scientific Reports(2023)"}. This record does not assert independent reproduction.

### VGG16

F1 Score: 95.2. Result ID: 6a0ab17247f34ce924f01fc2.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7a461e209131cea82244.md>)

Recorded evaluation configuration: {"Venue(Year)":"Discover Applied Sciences(2025)"}. This record does not assert independent reproduction.

### CNN-MDD

F1 Score: 93.3. Result ID: 6a0ab17247f34ce924f01fc0.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7a461e209131cea82244.md>)

Recorded evaluation configuration: {"Venue(Year)":"Computers in Biology and Medicine(2022)"}. This record does not assert independent reproduction.

### HDL-ACO

F1 Score: 92.4. Result ID: 6a0ab17247f34ce924f01fc3.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7a461e209131cea82244.md>)

Recorded evaluation configuration: {"Venue(Year)":"Scientific Reports(2025)"}. This record does not assert independent reproduction.

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