Authors: Expert Workgroup of Consensus on the application of artificial intelligence in myopia (2024), Ophthalmology Committee of International Association of Translational Medicine, Ophthalmic Imaging and Intelligent Medicine Branch of Chinese Medicine Education Association, Optometry Branch of Chinese Ethnic Medical Association, Chinese Ophthalmic Imaging Study Groups DOI: 10.3760/cma.j.cn115989-20231207-00200 Published 2024-08-10 Cite as Chin J Exp Ophthalmol, 2024, […]
Tag: Deep learning
Multi-level ranking classification algorithm for nuclear cataract based on AS-OCT image
Authors: Fang Lixin, Zhou Yu, Gu Yuanyuan, Jiang Ziyuan, Mou Lei, Wang Yang, Liu Fang, Zhao Yitian DOI: 10.3760/cma.j.cn115989-20221205-00567 Published 2024-03-10 Cite as Chin J Exp Ophthalmol, 2024, 42(3): 264-270. Abstract [Download PDF] [Read Full Text] Objective To investigate the diagnostic value […]
Construction and application of a deep learning-based assistant system for corneal in vivo confocal microscopy images recognition
Authors: Yan Yulin, Jiang Weiyan, Cheng Simin, Zhou Yiwen, Yu Yi, Zheng Biqing, Yang Yanning DOI: 10.3760/cma.j.cn115989-20230101-00001 Published 2024-02-10 Cite as Chin J Exp Ophthalmol, 2024, 42(2): 129-135. Abstract 【Read Full Text】【Download PDF】 Objective To construct an artificial intelligence (AI)-assisted system based on […]
Application status and progress of artificial intelligence in dry eye associated with meibomian gland dysfunction
Authors: Han Yabo, Yi Quanyong DOI: 10.3760/cma.j.cn115989-20220821-00385 Published 2024-02-10 Cite as Chin J Exp Ophthalmol, 2024, 42(2): 187-191. Abstract 【Read Full Text】【Download PDF】 In recent years, the incidence of dry eye disease has been increasing year by year due to environmental changes and […]
Application of artificial intelligence in ophthalmic optical coherence tomography
Authors: Duan Kairui, Zhang Hong DOI: 10.3760/cma.j.cn115989-20191231-00566 Published 2022-01-10 Cite asChin J Exp Ophthalmol, 2022, 40(1): 83-87. Abstract [View PDF] [Read Full Text] Artificial intelligence (AI) has become the forefront of research in computer science, which has been widely used in […]
Evaluation of low-quality fundus image enhancement based on cycle-constraint adversarial network
Authors: Zhou Xueting, Yang Weihua, Hua Xiao, You Qijing, Sun Jing, Shen Jianxin, Wan Cheng DOI: 10.3760/cma.j.cn115989-20201028-00718 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 769-775. Abstract [View PDF] [Read Full Text] Objective To propose and evaluate the cycle-constraint adversarial network (CycleGAN) for enhancing […]
Evaluation of an aided diagnosis system for vitreous and retinal diseases by analyzing B-scan ultrasound images based on deep convolutional neural network
Authors: Yu Yi, Zhou Yiwen, Chen Di, Hu Shan, Yang Yanning DOI: 10.3760/cma.j.cn115989-20210114-00037 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 792-797. Abstract [View PDF] [Read Full Text] Objective To explore the clinical value of a diagnostic system of ophthalmic B-scan ultrasound images based […]
New diagnosis and treatment pattern for cataract based on artificial intelligence
Authors: Wang Ting, Wang Ruixin, Lin Haotian DOI: 10.3760/cma.j.cn115989-20200608-00405 Published 2021-09-10 Cite asChin J Exp Ophthalmol, 2021, 39(9): 832-836. Abstract [View PDF] [Read Full Text] With the increase in the aging of the global population, the prevalence of cataract has increased gradually, and cataract has […]
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) […]
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 […]