# Cardiovascular Disease Detection on OCTA-CVD 1.0 (test) Source: [Cardiovascular Disease Detection on OCTA-CVD 1.0 (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:58:11.894Z Evaluation of cardiovascular disease detection performance on the test split of the OCTA-CVD 1.0 dataset, reporting metrics such as Precision, Recall, F1 Score, Accuracy, AUC, and AUPR. 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 | Cardiovascular Disease Detection | | Dataset (including any stated split) | OCTA-CVD 1.0 (test) | | Metric | Precision | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 10 of 10 | | 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 - [Precision](): Higher is better; unit: PERCENT. - [Recall](): Higher is better; unit: PERCENT. - [F1 Score](): Higher is better; unit: PERCENT. - [Accuracy](): Higher is better; unit: PERCENT. - [AUC](): Higher is better; unit: PERCENT. - [AUPR](): Higher is better; unit: PERCENT. ## Recorded results | Method | Precision | Result date | Report paper | | --- | --- | --- | --- | | VAMPIRE | 60.68 | Not recorded | 68fa7a341e209131cea81bd6 | | PolarNet | 57.58 | Not recorded | 68fa7a341e209131cea81bd6 | | RETFound | 56.14 | Not recorded | 68fa7a341e209131cea81bd6 | | VisionFM | 56.1 | Not recorded | 68fa7a341e209131cea81bd6 | | Eye-AD | 51.53 | Not recorded | 68fa7a341e209131cea81bd6 | | ViT | 50.58 | Not recorded | 68fa7a341e209131cea81bd6 | | Swin V2 | 50.1 | Not recorded | 68fa7a341e209131cea81bd6 | | ResNet | 49.28 | Not recorded | 68fa7a341e209131cea81bd6 | | Vim | 46.36 | Not recorded | 68fa7a341e209131cea81bd6 | | EfficientNet | 45.81 | Not recorded | 68fa7a341e209131cea81bd6 | ### VAMPIRE Precision: 60.68. Result ID: 698b71727a967eddb76ea135. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction. ### PolarNet Precision: 57.58. Result ID: 698b71727a967eddb76ea131. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture Type":"OCTA-based detection method"}. This record does not assert independent reproduction. ### RETFound Precision: 56.14. Result ID: 698b71727a967eddb76ea133. [Reporting paper]() Recorded evaluation configuration: {"Architecture Type":"Fine-tuned ophthalmologic foundation model"}. This record does not assert independent reproduction. ### VisionFM Precision: 56.1. Result ID: 698b71727a967eddb76ea134. [Reporting paper]() Recorded evaluation configuration: {"Architecture Type":"Fine-tuned ophthalmologic foundation model"}. This record does not assert independent reproduction. ### Eye-AD Precision: 51.53. Result ID: 698b71727a967eddb76ea132. [Reporting paper]() Recorded evaluation configuration: {"Architecture Type":"OCTA-based detection method"}. This record does not assert independent reproduction. ### ViT Precision: 50.58. Result ID: 698b71727a967eddb76ea12e. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture Type":"CNN backbone"}. This record does not assert independent reproduction. ### Swin V2 Precision: 50.1. Result ID: 698b71727a967eddb76ea12f. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture Type":"CNN backbone"}. This record does not assert independent reproduction. ### ResNet Precision: 49.28. Result ID: 698b71727a967eddb76ea12c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture Type":"CNN backbone"}. This record does not assert independent reproduction. ### Vim Precision: 46.36. Result ID: 698b71727a967eddb76ea130. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture Type":"CNN backbone"}. This record does not assert independent reproduction. ### EfficientNet Precision: 45.81. Result ID: 698b71727a967eddb76ea12d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Architecture Type":"CNN backbone"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.