Authors:Tong Yan, Lu Wei, Xu Yangtao, Li Ying, Wang Xiaoling, Chen Changzheng, Shen Yin DOI: 10.3760/cma.j.issn.2095-0160.2019.08.011 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 647-651. Abstract [View PDF] [Read Full Text] Objective To evaluate the application value of an intelligent fundus assisted diagnosis system for […]
Tag: Deep learning
Application of standardized manual labeling on identification of retinopathy of prematurity images in deep learning
Authors:Wang Ji, Zhang Guihua, Lin Jianwei, Ji Jie, Qiu Kunliang, Zhang Mingzhi DOI: 10.3760/cma.j.issn.2095-0160.2019.08.013 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 653-657. Abstract [View PDF] [Read Full Text] Objective To evaluate the application of the standard manual labeling on identification […]
Validation and application of an artificial intelligence robot assisted diagnosis system for diabetic retinopathy
Authors:Gao Shaohui, Jin Xuemin, Zhao Zhaoxia, Yu Weihong, Chen Youxin, Sun Yuhui, Ding Dayong DOI: 10.3760/cma.j.issn.2095-0160.2019.08.016 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 669-673. Abstract [View PDF] [Read Full Text] Objective To evaluate the performance of an artificial intelligence (AI) […]
Establishment and application of diabetic retinopathy intelligent assisted diagnostic technology evaluation system based on fundus photography
Authors:Zheng Bo, Yang Weihua, Wu Maonian, Zhu Shaojun, Weng Ming, Zhang Xian, Zhang Minjun DOI: 10.3760/cma.j.issn.2095-0160.2019.08.017 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 674-679. Abstract [View PDF] [Read Full Text] Objective To propose a new evaluation system and evaluate the application value of diabetic […]