Artificial intelligence on diabetic retinopathy diagnosis: an automatic classification method based on grey level co-occurrence matrix and naive Bayesian model

Artificial intelligence on diabetic retinopathy diagnosis: an automatic classification method based on grey level co-occurrence matrix and naive Bayesian model

AIM: To develop an automatic tool on screening diabetic retinopathy (DR) from diabetic patients. METHODS: We extracted textures from eye fundus images of each diabetes subject using grey level co-occurrence matrix method and trained a Bayesian model based on these textures. The receiver operating c...

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Bibliographic Details
Main Authors: Kai Cao, Jie Xu, Wei-Qi Zhao
Format: Article
Language:English
Published: Press of International Journal of Ophthalmology (IJO PRESS) 2019-07-01
Series:International Journal of Ophthalmology
Subjects:
grey level co-occurrence matrix
bayesian
textures
artificial intelligence
receiver operating characteristic curve
diabetic retinopathy
Online Access:http://www.ijo.cn/en_publish/2019/7/20190717.pdf

Internet

http://www.ijo.cn/en_publish/2019/7/20190717.pdf

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