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Hu M 17
Showing records 1 to 17 | Display all abstracts from Hu M119131 Research progress in the diagnosis and treatment of childhood glaucoma
Hu M
Chinese Journal of Ophthalmology 2024; 60: 458-466
124485 Automated classification of angle-closure mechanisms based on anterior segment optical coherence tomography images via deep learning
Zhang Y
Heliyon 2024; 10: e35236
121036 Deep learning for predicting circular retinal nerve fiber layer thickness from fundus photographs and diagnosing glaucoma
Xu Y
Heliyon 2024; 10: e33813
123031 A Dual-Modal Fusion Network Using Optical Coherence Tomography and Fundus Images in Detection of Glaucomatous Optic Neuropathy
Xu Y
Current Eye Research 2024; 49: 1253-1259
121036 Deep learning for predicting circular retinal nerve fiber layer thickness from fundus photographs and diagnosing glaucoma
Liu H
Heliyon 2024; 10: e33813
124485 Automated classification of angle-closure mechanisms based on anterior segment optical coherence tomography images via deep learning
Zhang X
Heliyon 2024; 10: e35236
123031 A Dual-Modal Fusion Network Using Optical Coherence Tomography and Fundus Images in Detection of Glaucomatous Optic Neuropathy
Sun R
Current Eye Research 2024; 49: 1253-1259
119131 Research progress in the diagnosis and treatment of childhood glaucoma
Qiao CY; Wang NL
Chinese Journal of Ophthalmology 2024; 60: 458-466
124485 Automated classification of angle-closure mechanisms based on anterior segment optical coherence tomography images via deep learning
Zhang Q
Heliyon 2024; 10: e35236
123031 A Dual-Modal Fusion Network Using Optical Coherence Tomography and Fundus Images in Detection of Glaucomatous Optic Neuropathy
Hu M
Current Eye Research 2024; 49: 1253-1259
121036 Deep learning for predicting circular retinal nerve fiber layer thickness from fundus photographs and diagnosing glaucoma
Sun R; Wang H
Heliyon 2024; 10: e33813
123031 A Dual-Modal Fusion Network Using Optical Coherence Tomography and Fundus Images in Detection of Glaucomatous Optic Neuropathy
Zeng H
Current Eye Research 2024; 49: 1253-1259
124485 Automated classification of angle-closure mechanisms based on anterior segment optical coherence tomography images via deep learning
Lv B; Hu M
Heliyon 2024; 10: e35236
121036 Deep learning for predicting circular retinal nerve fiber layer thickness from fundus photographs and diagnosing glaucoma
Huo Y; Wang N
Heliyon 2024; 10: e33813
124485 Automated classification of angle-closure mechanisms based on anterior segment optical coherence tomography images via deep learning
Lv C; Ni Y
Heliyon 2024; 10: e35236
121036 Deep learning for predicting circular retinal nerve fiber layer thickness from fundus photographs and diagnosing glaucoma
Hu M
Heliyon 2024; 10: e33813
124485 Automated classification of angle-closure mechanisms based on anterior segment optical coherence tomography images via deep learning
Xie G; Li S; Zebardast N; Shweikh Y; Wang N
Heliyon 2024; 10: e35236
