An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-03974-0
Abstract: The objective of this study is to propose an alternative, hybrid solution method for diagnosing diabetic retinopathy from retinal fundus images. In detail, the hybrid method is based on using both image processing and deep… read more here.
Keywords: diabetic retinopathy; fundus images; retinopathy detection; retinal fundus ... See more keywords
Automated multidimensional deep learning platform for referable diabetic retinopathy detection: a multicentre, retrospective study
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DOI: 10.1136/bmjopen-2021-060155
Abstract: Objective To develop and validate a real-world screening, guideline-based deep learning (DL) system for referable diabetic retinopathy (DR) detection. Design This is a multicentre platform development study based on retrospective, cross-sectional data sets. Images were… read more here.
Keywords: referable diabetic; retinopathy detection; detection; deep learning ... See more keywords
Computer aided diabetic retinopathy detection based on ophthalmic photography: a systematic review and Meta-analysis.
Sign Up to like & getrecommendations! Published in 2019 at "International journal of ophthalmology"
DOI: 10.18240/ijo.2019.12.14
Abstract: AIM To ensure the diagnostic value of computer aided techniques in diabetic retinopathy (DR) detection based on ophthalmic photography (OP). METHODS PubMed, EMBASE, Ei village, IEEE Xplore and Cochrane Library database were searched systematically for… read more here.
Keywords: detection; diabetic retinopathy; retinopathy detection; analysis ... See more keywords