2 papers
cs.CV2025
Semi-Supervised Multi-Task Learning for Interpretable Quality As- sessment of Fundus Images
Lucas Gabriel Telesco, Danila Nejamkin, Estefanía Mata +8
Retinal image quality assessment (RIQA) supports computer-aided diagnosis of eye diseases. However, most tools classify only overall image quality, without indicating acquisition d…
cs.CV2022
Assessing Coarse-to-Fine Deep Learning Models for Optic Disc and Cup Segmentation in Fundus Images
Eugenia Moris, Nicolás Dazeo, Maria Paula Albina de Rueda +7
Automated optic disc (OD) and optic cup (OC) segmentation in fundus images is relevant to efficiently measure the vertical cup-to-disc ratio (vCDR), a biomarker commonly used in op…