3 papers
eess.IV2024
Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading
Sharon Chokuwa, Muhammad Haris Khan
Diabetic Retinopathy (DR) constitutes 5% of global blindness cases. While numerous deep learning approaches have sought to enhance traditional DR grading methods, they often falter…
cs.CV2023
Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders
Sharon Chokuwa, Muhammad H. Khan
Domain generalization for Diabetic Retinopathy (DR) classification allows a model to adeptly classify retinal images from previously unseen domains with various imaging conditions…
cs.CV2023
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification
Aleksandr Matsun, Dana O. Mohamed, Sharon Chokuwa +2
The domain shift between training and testing data presents a significant challenge for training generalizable deep learning models. As a consequence, the performance of models tra…