Authors:He Chenhao, Li Yuying, Zhong Zilin, Chen Jianjun DOI: 10.3760/cma.j.issn.2095-0160.2019.09.014 Published 2019-09-10 Cite as Chin J Exp Ophthalmol, 2019,37(9): 755-758. Abstract [View PDF] [Read Full Text] FYVE and coiled-coil domain containing 1(FYCO1) is an adaptor of cellular autophagy which has RUN domain, […]
Category: 2019
Research progress of Cre/LoxP system in the eyes of animal model
Authors:Lou Xiangfeng, Luo Xue, Shen Yin DOI: 10.3760/cma.j.issn.2095-0160.2019.09.015 Published 2019-09-10 Cite as Chin J Exp Ophthalmol, 2019,37(9): 759-763. Abstract [View PDF] [Read Full Text] Cre/LoxP system has been widely used as new type of gene targeting, which can transform genes in specific tissues and organs, remove specific […]
Advances in vitreous proteomics of vitreoretinal diseases
Authors:Song Minlu, Wang Fenghua DOI: 10.3760/cma.j.issn.2095-0160.2019.09.016 Published 2019-09-10 Cite as Chin J Exp Ophthalmol, 2019,37(9): 764-768. Abstract [View PDF] [Read Full Text] Vitreous is a gelatinous, transparent, highly hydrated matrix that fills the posterior segment of eye.A diversity of proteins that can influence retinal physiology are […]
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 […]
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 […]