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 […]
Tag: Deep learning
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 […]