Category: 2019

Screening and grading of fundus images of diabetic retinopathy based on visual attention

Authors:Wan Jialong,  Hu Jianbin,  Jin Weidong,  Tang Peng DOI: 10.3760/cma.j.issn.2095-0160.2019.08.008 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 630-637. Abstract                               [View PDF] [Read Full Text] Objective To construct an intelligent analysis system based on visual attention for diabetic retinopathy (DR) assistant diagnosis and to realize […]

Objective analysis of corneal subbasal nerve tortuosity and its changes in patients with dry eye and diabetes

Authors:Ma Baikai,  Zhao Kun,  Ma Siyi,  Liu Rongjun,  Gao Yufei,  Hu Chenxi,  Xie Jianyang,  Liu Yiyun,  Zhao Yitian,  Qi Hong DOI: 10.3760/cma.j.issn.2095-0160.2019.08.009 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 638-644. Abstract                              [View PDF] [Read Full Text] Objective To construct an objective analysis system of […]

Automated assisted clinical diagnosis of retinopathy of prematurity based on deep learning

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 […]

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 […]

The application value of deep learning OCT on wet age-related macular degeneration assisted diagnosis

Authors:Gong Yan,  Gu Zaiwang,  Hu Yan,  Liao Yanhong,  Ye Ting,  Liu Dong,  Liu Jiang DOI: 10.3760/cma.j.issn.2095-0160.2019.08.014 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 658-662. Abstract                               [View PDF] [Read Full Text] Objective To investigate the application value of deep learning optical coherence tomography (OCT) on […]

Clinical evaluation of artificial intelligence system based on fundus photograph in diabetic retinopathy screening

Authors:Li Meng,  Wang Gengyuan,  Xia Honghui,  Tang Xiaoying,  Feng Ziqing,  Yao Yongyu,  Huang Yijin,  Fan Wei,  Yuan Zhe,  Yuan Jin DOI: 10.3760/cma.j.issn.2095-0160.2019.08.015 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 663-668. Abstract                              [View PDF] [Read Full Text] Objective To study the […]

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 […]

Application of artificial intelligence in ophthalmology

Authors:Wang Gengyuan,  Yuan Jin DOI: 10.3760/cma.j.issn.2095-0160.2019.08.018 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 680-683. Abstract                              [View PDF] [Read Full Text] As a computer science that seeks to simulate the problem of human intelligence, artificial intelligence (AI) is developing rapidly in many fields.The application of […]

Research status and prospect of deep learning algorithm-based artificial intelligence in assisted diagnosis of diabetic retinopathy

Authors:Ming Shuai,  Lei Bo DOI: 10.3760/cma.j.issn.2095-0160.2019.08.019 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 684-688. Abstract                              [View PDF] [Read Full Text] Based on deep learning algorithm, big stride development has been made about artificial intelligence (AI) technology, both in its basic […]