Abstract
Diagnosis of plus disease in retinopathy of prematurity (ROP) is subjective and variable. We have shown that computer-based image analysis can diagnose plus disease with comparable or better accuracy than experts. This study uses outputs from a deep learning algorithm to identify vascular features considered most significant by experts for plus disease diagnosis.
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