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Table 3 Performance of the CFDL image 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 Image

Xception

AUPRC

0.990

0.99

PPV

0.966

0.9658

Sensitivity

0.966

0.9658

Accuracy

0.966

0.9583

  1. CFDL, code-free deep learning; 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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