Diabetic Retinopathy Diagnosis Poster presented at the Deep Learning Indaba 2022 by Zephania Reuben
Single-modality and joint fusion deep learning for diabetic retinopathy diagnosis Poster presented at the Deep Learning Indaba 2022 by SARA EL-ATEIF
Diabetic Retinopathy (DR) has become a leading cause of blindness among diabetic patients. Accurate
Diabetic retinopathy is a leading cause of blindness in Ethiopia, with limited access to specialist
This project uses a U-Net model to segment key diabetic retinopathy lesions from retinal images in t
Introducing automated Diabetic Retinopathy (DR) diagnosis into Ethiopia is still a challenging task,
Lightweight Diabetic Retinopathy Classifier using MobileViTV2. Model achieves 83% accuracy on the DD