Coarse-to-fine classification for diabetic retinopathy grading using convolutional neural network

•For the first time, a hierarchically Coarse-to-fine diabetic retinopathy (DR) network (CF-DRNet) is proposed and this network can enables a hierarchically five-stage grading using convolutional neural networks.•The proposed CF-DRNet consists of the pre-trained Coarse Network and the pre-trained Fin...

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Veröffentlicht in:	Artificial intelligence in medicine Jg. 108; S. 101936
Hauptverfasser:	Wu, Zhan, Shi, Gonglei, Chen, Yang, Shi, Fei, Chen, Xinjian, Coatrieux, Gouenou, Yang, Jian, Luo, Limin, Li, Shuo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2020 Elsevier
Schlagworte:	Bioengineering Coarse-to-fine classification Computer Science Convolutional neural networks Diabetic retinopathy grading Fundus images Human health and pathology Life Sciences Neural and Evolutionary Computing Sensory Organs Coarse-to-fine classification Diabetic retinopathy grading Convolutional neural networks Fundus images
ISSN:	0933-3657, 1873-2860, 1873-2860
Online-Zugang:	Volltext
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