光电子快报(英文版), 2019, 15 (5): 381, Published Online: Jan. 7, 2020  

Automatic segmentation of optic disc and cup for CDR calculation

ZHAO Xin 1,2,3GUO Fan 1,2,3,*ZOU Bei-ji 1,2,3ZHAO Rong-chang 1,2,3
Author Affiliations
1 School of Information Science and Engineering, Central South University, Changsha 410083, China
2 Mobile Health Ministry of Education-China Mobile Joint Laboratory, Changsha 410083, China
3 Hunan Engineering Research Center of Machine Vision and Intelligent Medicine, Central South University, Changsha 410083, China
Abstract
Glaucoma as an irreversible blinding opioid neuropathy disease, its blindness rate is the second only after cataract in the world. The optic cup-to-disc ratio (CDR) is generally considered to be an important clinical indicator for judging the severity of glaucoma by ophthalmologists from retinal fundus image. In this letter, we propose an automatic CDR measurement method that consists of a novel optic disc localization method and a simultaneous optic disc and cup segmentation network based on the improved U shape deep convolutional neural network. Experimental results demonstrate that the proposed method can achieve superior performance when compared with other existing methods. Thus, our method can be used as a powerful tool for glaucoma-assisted diagnosis.

ZHAO Xin, GUO Fan, ZOU Bei-ji, ZHAO Rong-chang. Automatic segmentation of optic disc and cup for CDR calculation[J]. 光电子快报(英文版), 2019, 15(5): 381.

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