“One Belt and One Road” International Ophthalmic Artificial Intelligence Research and Development Alliance, “Medical Artificial Intelligence Database Management Specification Program Revision Seminar in 2019” Expert Panel, National Key Research and Development Program of China “Development and Clinical Trials of Artificial Intelligence Diagnostic System for Blindness-causing Diseases, Teratogenic Abnormalities, Life Threatening Disorders” Project Team, the Science […]
Tag: Artificial intelligence
Guidelines for artificial intelligent diabetic retinopathy screening system based on fundus photography
Authors:Intelligent Medicine Special Committee of China Medicine Education Association, National Key Research and Development Program of China “Development and Application of Ophthalmic Multimodal Imaging and Artificial Intelligence Diagnosis and Treatment System” Project Team DOI: 10.3760/cma.j.issn.2095-0160.2019.08.001 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 593-598. Abstract […]
Attach importance to the opportunities and challenges facing the development of ophthalmic artificial intelligence in China
Authors:Yuan Jin, Li Meng DOI: 10.3760/cma.j.issn.2095-0160.2019.08.002 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 599-602. Abstract [View PDF] [Read Full Text] The combination of “artificial intelligence (AI)+ medical” provides new ideas for improving medical quality and innovating clinical diagnosis and treatment […]
Diabetic retinopathy detection algorithm based on transfer learning
Authors:Huang Yijin, Lyu Junyan, Li Meng, Xia Honghui, Yuan Jin, Tang Xiaoying DOI: 10.3760/cma.j.issn.2095-0160.2019.08.003 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 603-607. Abstract [View PDF] [Read Full Text] Objective To investigate a diabetic retinopathy (DR) detection algorithm based on transfer learning in small sample […]
A novel lesion detection algorithm based on multi-scale input convolutional neural network model for diabetic retinopathy
Authors:Yang Yehui, Liu Jia, Xu Yanwu, Huang Yan, Wang Lei DOI: 10.3760/cma.j.issn.2095-0160.2019.08.007 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 624-629. Abstract [View PDF] [Read Full Text] Objective To propose a multi-scale convolutional neural network (CNN) based lesions detection method 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 […]
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 […]