A Reference-Free Quality Enhancement Framework for Low-Quality Fundus Images
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3508470
Abstract: The progression of medical image analysis methodologies has significantly assisted fundus clinical decision-making, such as disease diagnosis and lesion segmentation. However, low-quality fundus images bring a series of challenges to the automatic screening of diseases… read more here.
Keywords: quality; quality fundus; quality enhancement; low quality ... See more keywords