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6.8.2 Posterior segment (48)
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Display all abstracts in classification 6.8.2 Posterior segment
Search within classification 6.8.2 Posterior segment79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Hark LA
Journal of Glaucoma 2018; 27: 999-1008
79274 Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
Shibata N
Scientific reports 2018; 8: 14665
78765 Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma
Panda R
Journal of medical imaging (Bellingham, Wash.) 2018; 5: 044003
78779 Automated Detection of Retinal Nerve Fiber Layer by Texture-Based Analysis for Glaucoma Evaluation
Septiarini A
Healthcare informatics research 2018; 24: 335-345
79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Yoshikawa T
British Journal of Ophthalmology 2019; 103: 1119-1122
78454 Multicolor imaging for retinal nerve fiber layer defect in glaucoma
Basu T
Indian Journal of Ophthalmology 2018; 66: 1345-1349
78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Daga FB
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476
78844 An efficient optic cup segmentation method decreasing the influences of blood vessels
Yang C
Biomedical engineering online 2018; 17: 130
78779 Automated Detection of Retinal Nerve Fiber Layer by Texture-Based Analysis for Glaucoma Evaluation
Harjoko A
Healthcare informatics research 2018; 24: 335-345
79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Myers JS
Journal of Glaucoma 2018; 27: 999-1008
78844 An efficient optic cup segmentation method decreasing the influences of blood vessels
Lu M
Biomedical engineering online 2018; 17: 130
78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Ogata NG
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476
78454 Multicolor imaging for retinal nerve fiber layer defect in glaucoma
Shah D
Indian Journal of Ophthalmology 2018; 66: 1345-1349
79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Obayashi K
British Journal of Ophthalmology 2019; 103: 1119-1122
79274 Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
Tanito M
Scientific reports 2018; 8: 14665
78765 Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma
Puhan NB; Rao A
Journal of medical imaging (Bellingham, Wash.) 2018; 5: 044003
78844 An efficient optic cup segmentation method decreasing the influences of blood vessels
Duan Y
Biomedical engineering online 2018; 17: 130
79274 Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
Mitsuhashi K
Scientific reports 2018; 8: 14665
78779 Automated Detection of Retinal Nerve Fiber Layer by Texture-Based Analysis for Glaucoma Evaluation
Pulungan R
Healthcare informatics research 2018; 24: 335-345
79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Miyata K
British Journal of Ophthalmology 2019; 103: 1119-1122
78454 Multicolor imaging for retinal nerve fiber layer defect in glaucoma
Das D
Indian Journal of Ophthalmology 2018; 66: 1345-1349
78943 Macular Pigment and Visual Function in Patients With Glaucoma: The San Diego Macular Pigment Study
Medeiros FA
Investigative Ophthalmology and Visual Science 2018; 59: 4471-4476
79282 Philadelphia Telemedicine Glaucoma Detection and Follow-up Study: Analysis of Unreadable Fundus Images
Rahmatnejad K
Journal of Glaucoma 2018; 27: 999-1008
79158 Association between glaucomatous optic disc and depressive symptoms independent of light exposure profiles: a cross-sectional study of the HEIJO-KYO cohort
Ueda T
British Journal of Ophthalmology 2019; 103: 1119-1122
78844 An efficient optic cup segmentation method decreasing the influences of blood vessels
Liu B
Biomedical engineering online 2018; 17: 130