3 papers
cs.CV2024
Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacks
Clément Playout, Renaud Duval, Marie Carole Boucher +1
The diagnosis of diabetic retinopathy, which relies on fundus images, faces challenges in achieving transparency and interpretability when using a global classification approach. H…
cs.CV2024
Cross-Dataset Generalization For Retinal Lesions Segmentation
Clément Playout, Farida Cheriet
Identifying lesions in fundus images is an important milestone toward an automated and interpretable diagnosis of retinal diseases. To support research in this direction, multiple…
eess.IV2024
MAPLES-DR: MESSIDOR Anatomical and Pathological Labels for Explainable Screening of Diabetic Retinopathy
Gabriel Lepetit-Aimon, Clément Playout, Marie Carole Boucher +3
Reliable automatic diagnosis of Diabetic Retinopathy (DR) and Macular Edema (ME) is an invaluable asset in improving the rate of monitored patients among at-risk populations and in…