An Automated System for the Detection and Classification of Retinal Changes Due to Red Lesions in Longitudinal Fundus Images
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2017.2752701
Abstract: People with diabetes mellitus need annual screening to check for the development of diabetic retinopathy (DR). Tracking small retinal changes due to early diabetic retinopathy lesions in longitudinal fundus image sets is challenging due to… read more here.
Keywords: fundus images; lesions longitudinal; red lesions; retinal changes ... See more keywords
A Computationally Efficient Red-Lesion Extraction Method for Retinal Fundus Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3229712
Abstract: Retina is an important organ of the body, the diseases of which may lead to serious damages to human vision. Fundus retinal images are the common tools for the analysis of diabetic retinopathy (DR), which… read more here.
Keywords: red lesions; computationally efficient; extraction; fundus images ... See more keywords
Automated Detection of Red Lesions Using Superpixel Multichannel Multifeature
Sign Up to like & getrecommendations! Published in 2017 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2017/9854825
Abstract: Red lesions can be regarded as one of the earliest lesions in diabetic retinopathy (DR) and automatic detection of red lesions plays a critical role in diabetic retinopathy diagnosis. In this paper, a novel superpixel… read more here.
Keywords: detection red; detection; superpixel multichannel; multichannel multifeature ... See more keywords