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6.8.2 Posterior segment (38)
Showing records 1 to 25
Display all abstracts in classification 6.8.2 Posterior segment
Search within classification 6.8.2 Posterior segment80501 Utility of multicolor optic disc photography in evaluation of glaucomatous optic disc in myopic eyes: A novel approach
Basu T
Indian Journal of Ophthalmology 2019; 67: 412-414
81430 A Randomized Trial to Increase the Assessment Accuracy of Glaucoma and Optic Disc Characteristics by Orthoptists
Scheetz J
The Journal of continuing education in the health professions 2019; 39: 161-167
80758 Smartphone Disc Photography Versus Standard Stereoscopic Disc Photography as a Teaching Tool
Pujari A
Journal of Glaucoma 2019; 28: e109-e111
81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Al-Aswad LA
Journal of Glaucoma 2019; 28: 1029-1034
81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Daneshvar R
American Journal of Ophthalmology 2019; 208: 19-29
81341 Clinical validation of , an automated optic nerve head analysis software
Singh D
Indian Journal of Ophthalmology 2019; 67: 1089-1094
81482 Retinal vessel segmentation using dense U-net with multiscale inputs
Yue K
Journal of medical imaging (Bellingham, Wash.) 2019; 6: 034004
81430 A Randomized Trial to Increase the Assessment Accuracy of Glaucoma and Optic Disc Characteristics by Orthoptists
Koklanis K
The Journal of continuing education in the health professions 2019; 39: 161-167
81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Kapoor R
Journal of Glaucoma 2019; 28: 1029-1034
80501 Utility of multicolor optic disc photography in evaluation of glaucomatous optic disc in myopic eyes: A novel approach
Garg B
Indian Journal of Ophthalmology 2019; 67: 412-414
81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Kapoor R
Journal of Glaucoma 2019; 28: 1029-1034
81341 Clinical validation of , an automated optic nerve head analysis software
Gunasekaran S
Indian Journal of Ophthalmology 2019; 67: 1089-1094
81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Yarmohammadi A
American Journal of Ophthalmology 2019; 208: 19-29
80758 Smartphone Disc Photography Versus Standard Stereoscopic Disc Photography as a Teaching Tool
Selvan H
Journal of Glaucoma 2019; 28: e109-e111
81482 Retinal vessel segmentation using dense U-net with multiscale inputs
Zou B; Chen Z
Journal of medical imaging (Bellingham, Wash.) 2019; 6: 034004
81330 Evaluation of a Deep Learning System for Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs
Chu CK
Journal of Glaucoma 2019; 28: 1029-1034
80501 Utility of multicolor optic disc photography in evaluation of glaucomatous optic disc in myopic eyes: A novel approach
Mishra S
Indian Journal of Ophthalmology 2019; 67: 412-414
81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Alizadeh R
American Journal of Ophthalmology 2019; 208: 19-29
80758 Smartphone Disc Photography Versus Standard Stereoscopic Disc Photography as a Teaching Tool
Goel S
Journal of Glaucoma 2019; 28: e109-e111
81430 A Randomized Trial to Increase the Assessment Accuracy of Glaucoma and Optic Disc Characteristics by Orthoptists
McGuinness M
The Journal of continuing education in the health professions 2019; 39: 161-167
81341 Clinical validation of , an automated optic nerve head analysis software
Hada M
Indian Journal of Ophthalmology 2019; 67: 1089-1094
81363 Prediction of Glaucoma Progression with Structural Parameters: Comparison of Optical Coherence Tomography and Clinical Disc Parameters
Henry S
American Journal of Ophthalmology 2019; 208: 19-29
81341 Clinical validation of , an automated optic nerve head analysis software
Gogia V
Indian Journal of Ophthalmology 2019; 67: 1089-1094
81482 Retinal vessel segmentation using dense U-net with multiscale inputs
Liu Q
Journal of medical imaging (Bellingham, Wash.) 2019; 6: 034004
80758 Smartphone Disc Photography Versus Standard Stereoscopic Disc Photography as a Teaching Tool
Ayyadurai N
Journal of Glaucoma 2019; 28: e109-e111
