Anitha Potnuri

A multi task deep learning framework for automated health condition prediction from retinal fundus images using hybrid attention and explainable AI

Although retinal fundus imaging is a non-invasive tool to assess systemic and fundus pathology, current deep learning algorithms are mostly single-task, lack clinical interpretability and are unable to handle acquisition variation between different domains. These constraints limit their clinical utility: when a pat...