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 […]
Category: 2019, No. 08
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 […]
Retinal image quality assessment based on FA-Net
Authors:Wan Cheng, You Qijing, Sun Jing, Shen Jianxin, Yu Qiuli DOI: 10.3760/cma.j.issn.2095-0160.2019.08.004 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 608-612. Abstract [View PDF] [Read Full Text] Objective To propose a deep learning-based retinal image quality classification network, FA-Net, to make convolutional neural network (CNN) […]
Diabetic retinopathy fundus image generation based on generative adversarial networks
Authors:Wan Cheng, Zhou Peng, Wu Luhui, Wu Yiquan, Shen Jianxin, Ye Hui DOI: 10.3760/cma.j.issn.2095-0160.2019.08.005 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 613-618. DOI: 10.3760/cma.j.issn.2095-0160.2019.08.005 Abstract [View PDF] [Read Full Text] Objective To generate various types of diabetic retinopathy (DR) fundus images automatically by computer vision […]
Multi-channel conditional generative adversarial networks retinal vessel segmentation algorithm
Authors:Wan Cheng, Wang Yikuang, Xu Peiyuan, Shen Jianxin, Chen Zhiqiang DOI: 10.3760/cma.j.issn.2095-0160.2019.08.006 Published 2019-08-10 Cite as Chin J Exp Ophthalmol, 2019,37(8): 619-623. Abstract [View PDF] [Read Full Text] Objective To propose a model for accurately segmenting blood vessels in medical fundus images. Methods The algorithm of […]
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 […]
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 […]