Analysis of anterior segment in primary angle closure suspect with deep learning models - Fu, Ziwei; Xi, Jinwei; Ji, Zhi; Zhang, Ruxue; Wang, Jianping; Shi, Rui; Pu, Xiaoli; Yu, Jingni; Xue, Fang; Liu, Jianrong; Wang, Yanrong; Zhong, Hua; et al. (BMC medical informatics and decision making, 2024)
Keywords: Aged; Algorithms; Anatomical characteristics; Angle-closure glaucoma; Anterior chamber; Anterior chamber (Eye); Anterior Eye Segment - diagnostic imaging; Artificial intelligence; Artificial neural networks; Classification; Computer-aided medical diagnosis; Convolutional neural network; Cooperation; Cornea; Cross-Sectional Studies; Deep Learning; Diagnosis; Diagnostic systems; Female; Glaucoma; Glaucoma, Angle-Closure - diagnosis; Glaucoma, Angle-Closure - diagnostic imaging; Health Informatics; Humans; Information Systems and Communication Service; Iris; Lasers; Machine learning; Male; Management of Computing and Information Systems; Medical examination; Medicine; Medicine & Public Health; Methods; Middle Aged; Neural networks; Performance evaluation; Physicians; Primary angle closure suspect; Probability distribution; Random variables; Regression analysis; Screening; Segments; Sensitivity analysis; Tomography, Optical Coherence; China; Screening; Anatomical characteristics; Convolutional neural network; Primary angle closure suspect; Machine learning