Transforming Retinal Photographs to Entropy Images in Deep Learning to Improve Automated Detection for Diabetic Retinopathy

Entropy images, representing the complexity of original fundus photographs, may strengthen the contrast between diabetic retinopathy (DR) lesions and unaffected areas. The aim of this study is to compare the detection performance for severe DR between original fundus photographs and entropy images b...

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Detalhes bibliográficos
Publicado no:J Ophthalmol
Main Authors: Lin, Gen-Min, Chen, Mei-Juan, Yeh, Chia-Hung, Lin, Yu-Yang, Kuo, Heng-Yu, Lin, Min-Hui, Chen, Ming-Chin, Lin, Shinfeng D., Gao, Ying, Ran, Anran, Cheung, Carol Y.
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi 2018
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Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6151683/
https://ncbi.nlm.nih.gov/pubmed/30275989
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/2159702
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