EXTERNAL VALIDATION OF DEEP LEARNING MODELS FOR CLASSIFYING ETIOLOGY OF RETINAL HEMORRHAGE USING DIVERSE FUNDUS PHOTOGRAPHY DATASETS

External Validation of Deep Learning Models for Classifying Etiology of Retinal Hemorrhage Using Diverse Fundus Photography Datasets

Retinal hemorrhage (RH) is a significant clinical finding with various etiologies, necessitating accurate classification for effective management.This study aims to externally validate deep learning (DL) models, specifically FastVit_SA12 and ResNet18, for distinguishing between traumatic and here medical causes of RH using diverse fundus photograph

read more