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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151683/
https://www.ncbi.nlm.nih.gov/pubmed/30275989
http://dx.doi.org/10.1155/2018/2159702

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151683/
https://www.ncbi.nlm.nih.gov/pubmed/30275989
http://dx.doi.org/10.1155/2018/2159702

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