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Table 2 Performance of the CFDL video model compared to bespoke model

From: Comparing code-free deep learning models to expert-designed models for detecting retinal diseases from optical coherence tomography

 

Model

CFDL Video

Mvit-base-32 × 3

AUPRC

0.984

0.9097

PPV

0.941

0.9419

Sensitivity

0.941

0.9419

Accuracy

0.941

0.9667

  1. CFDL, code-free deep learnin; AUPRC, area under the precision-recall curve; PPV, positive predictive value (precision)
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International Journal of Retina and Vitreous

ISSN: 2056-9920

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