Tag: Artificial intelligence

Focusing on the application of artificial intelligence in the diagnosis and treatment of strabismus

Authors: Liu Longqian, Wu Dawen DOI: 10.3760/cma.j.cn115989-20240611-00149 Published: 2024-12-10 Citation Liu Longqian, Wu Dawen. Focusing on the application of artificial intelligence in the diagnosis and treatment of strabismus[J]. Chin J Exp Ophthalmol, 2024, 42(12):1079-1083. DOI: 10.3760/cma.j.cn115989-20240611-00149. ABSTRACT                [Download PDF] [Read Full Text]  Early diagnosis and appropriate intervention of strabismus are […]

Focusing on the application and challenges of artificial intelligence in uveal malignant melanoma

Authors: Ding Yungang, Li Yongping DOI: 10.3760/cma.j.cn115989-20240722-00206 Published: 2024-12-10 Citation Ding Yungang, Li Yongping. Focusing on the application and challenges of artificial intelligence in uveal malignant melanoma[J]. Chin J Exp Ophthalmol, 2024, 42(12):1084-1089. DOI: 10.3760/cma.j.cn115989-20240722-00206. ABSTRACT                  [Download PDF] [Read Full Text] Uveal malignant melanoma is one of the common […]

QU-Net application in retinal vessel segmentation based on hypercomplex numbers and U-Net

Authors: Li Bing, Zhang Jie, Shangguan Yanyu, Jiang Qing, Niu Yunli, Bi Yanlong DOI: 10.3760/cma.j.cn115989-20240624-00163 Published: 2024-12-10 Citation Li Bing, Zhang Jie, Shangguan Yanyu, et al. QU-Net application in retinal vessel segmentation based on hypercomplex numbers and U-Net[J]. Chin J Exp Ophthalmol, 2024, 42(12):1090-1099. DOI: 10.3760/cma.j.cn115989-20240624-00163. ABSTRACT                  […]

Establishment and performance evaluation of an AI-Doctor collaborative intelligent precision segmentation model for non-perfusion area of retinal vessels

Authors: Li Suyan, Wu Mengchu, Wu Liang, Xiao Chang, Yang Xu, Xu Xiao DOI: 10.3760/cma.j.cn115989-20240415-00110 Published: 2024-12-10 Citation Li Suyan, Wu Mengchu, Wu Liang, et al. Establishment and performance evaluation of an AI-Doctor collaborative intelligent precision segmentation model for non-perfusion area of retinal vessels[J]. Chin J Exp Ophthalmol, 2024, 42(12):1100-1110. DOI: 10.3760/cma.j.cn115989-20240415-00110. ABSTRACT        […]

Development and application of an accurate retinal vascular network segmentation method for multiple diseases based on a multi-path network

Authors: Zhang Jinze, Li Jiaxiong, Wang Gengyuan, Yuan Jin, Xiao Peng DOI:  10.3760/cma.j.cn115989-20240731-00215 Published: 2024-12-10 Citation Zhang Jinze, Li Jiaxiong, Wang Gengyuan, et al. Development and application of an accurate retinal vascular network segmentation method for multiple diseases based on a multi-path network[J]. Chin J Exp Ophthalmol, 2024, 42(12):1120-1126. DOI: 10.3760/cma.j.cn115989-20240731-00215. ABSTRACT          […]

An automatic evaluation study for anterior located ciliary body of primary angle-closure glaucoma based on deep learning

Authors: Cong Yuyu, Jiang Weiyan, Zhu Jian, Zheng Biqing, Yang Yanning DOI: 10.3760/cma.j.cn115989-20240328-00085 Published: 2024-12-10 Citation Cong Yuyu, Jiang Weiyan, Zhu Jian, et al. An automatic evaluation study for anterior located ciliary body of primary angle-closure glaucoma based on deep learning[J]. Chin J Exp Ophthalmol, 2024, 42(12):1134-1141. DOI: 10.3760/cma.j.cn115989-20240328-00085. ABSTRACT            […]

Application of deep learning with multimodal data in glaucoma diagnosis and severity grading

Authors: Qian Chaoxu, Zhou Lingxiang, Feng Xueli, Chen Xi, Yang Wenyan, Yi Sanli, Zhong Hua DOI:  10.3760/cma.j.cn115989-20240104-00005 Published: 2024-12-10 Citation Qian Chaoxu, Zhou Lingxiang, Feng Xueli, et al. Application of deep learning with multimodal data in glaucoma diagnosis and severity grading[J]. Chin J Exp Ophthalmol, 2024, 42(12):1149-1154. DOI: 10.3760/cma.j.cn115989-20240104-00005. ABSTRACT              […]

Research progress in intelligent diagnosis of early keratoconus based on corneal biomechanical properties

Authors: Chen Xuan, Wang Yan DOI: 10.3760/cma.j.cn115989-20230727-00047 Published: 2024-12-10 Citation Chen Xuan, Wang Yan. Research progress in intelligent diagnosis of early keratoconus based on corneal biomechanical properties[J]. Chin J Exp Ophthalmol, 2024, 42(12):1163-1168. DOI: 10.3760/cma.j.cn115989-20230727-00047 ABSTRACT                    [Download PDF] [Read Full Text] Corneal biomechanical properties have been found to […]

Consensus on the application of artificial intelligence in myopia (2024)

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, […]

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 […]