Authors: Zhu Jian, Yan Yulin, Jiang Weiyan, Zhang Shaowei, Niu Xiaoguang, Hu Xiao, Zheng Biqing, Yang Yanning DOI: 10.3760/cma.j.cn115989-20240618-00160 Published: 2025 -06 -10 Citation Zhu Jian, Yan Yulin, Jiang Weiyan, et al.Construction and evaluation of automatic measurement model of panoramic ultrasound biomicroscopy images based on deep learningJ]. Chin J Exp Ophthalmol, 2025, 43(6):513-521. DOI: 10.3760/cma.j.cn115989-20240618-00160. [Download PDF] [View […]
Tag: Artificial intelligence
Expert consensus on classification and annotation methods, processes and quality control for dry eye imaging in artificial intelligence applications (2025)
Authors: Expert Workgroup of Expert consensus on classification and annotation methods processes and quality control for dry eye imaging in artificial intelligence applications (2025), Intelligent Ophthalmology Branch of China Medical Education Association DOI: 10.3760/cma.j.cn115989-20250227-00055 Published: 2025 -04 -10 Citation Expert Workgroup of Expert consensus on classification and annotation methods processes and quality control for dry eye imaging […]
Advancement of ChatGPT in ophthalmology
Authors: Wu Shinan, Tan gang, Shao Yi DOI: 10.3760/cma.j.cn115989-20230919-00101 Published: 2025 -02 -10 Citation Wu Shinan, Tan gang, Shao Yi. Advancement of ChatGPT in ophthalmology[J]. Chin J Exp Ophthalmol, 2025, 43(2):181-185. DOI: 10.3760/cma.j.cn115989-20230919-00101. ABSTRACT [Download PDF] [Read Full Text] In the early stage of artificial general intelligence (AGI), the emergence […]
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 […]