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6.8.2 Posterior segment (64)
Showing records 1 to 25
Display all abstracts in classification 6.8.2 Posterior segment
Search within classification 6.8.2 Posterior segment92494 A multi-scale convolutional neural network with context for joint segmentation of optic disc and cup
Yuan X
Artificial Intelligence in Medicine 2021; 113: 102035
92764 Ten-year-and-beyond longitudinal change of ß-zone parapapillary atrophy in glaucoma: association with retinal nerve fibre layer defect
Bak E
British Journal of Ophthalmology 2022; 106: 1393-1398
92846 Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning
Medeiros FA
Ophthalmology 2021; 128: 383-392
92262 Validation of a portable, non-mydriatic fundus camera compared to gold standard dilated fundus examination using slit lamp biomicroscopy for assessing the optic disc for glaucoma
Upadhyaya S
Eye 2022; 36: 441-447
92364 Automatic glaucoma detection based on transfer induced attention network
Xu X
Biomedical engineering online 2021; 20: 39
92226 Deep Learning Ensemble Method for Classifying Glaucoma Stages Using Fundus Photographs and Convolutional Neural Networks
Cho H
Current Eye Research 2021; 0: 1-9
92764 Ten-year-and-beyond longitudinal change of ß-zone parapapillary atrophy in glaucoma: association with retinal nerve fibre layer defect
Bak E; Bak E
British Journal of Ophthalmology 2022; 106: 1393-1398
92005 Macular pigment optical density change analysis in primary open-angle glaucoma and pseudoexfoliation glaucoma
Zeki Fikret C
International Ophthalmology 2021; 41: 2235-2240
92198 Comparison of spectral domain optical coherence tomography parameters between disc suspects and "pre-perimetric" glaucomatous discs classified on disc photo
Shah SN
Indian Journal of Ophthalmology 2021; 69: 603-610
92764 Ten-year-and-beyond longitudinal change of ß-zone parapapillary atrophy in glaucoma: association with retinal nerve fibre layer defect
Bak E
British Journal of Ophthalmology 2022; 106: 1393-1398
92367 Automated detection of glaucoma with interpretable machine learning using clinical data and multi-modal retinal images
Mehta P
American Journal of Ophthalmology 2021; 231: 154-169
92711 Smartphone-based Ophthalmic Imaging Compared With Spectral-domain Optical Coherence Tomography Assessment of Vertical Cup-to-disc Ratio Among Adults in Southwestern Uganda
Idriss BR
Journal of Glaucoma 2021; 30: e90-e98
92364 Automatic glaucoma detection based on transfer induced attention network
Guan Y
Biomedical engineering online 2021; 20: 39
92226 Deep Learning Ensemble Method for Classifying Glaucoma Stages Using Fundus Photographs and Convolutional Neural Networks
Hwang YH
Current Eye Research 2021; 0: 1-9
92709 Clinic-Based Eye Disease Screening Using Non-Expert Fundus Photo Graders at the Point of Screening: Diagnostic Validity and Yield
Snyder BM
American Journal of Ophthalmology 2021; 227: 245-253
92262 Validation of a portable, non-mydriatic fundus camera compared to gold standard dilated fundus examination using slit lamp biomicroscopy for assessing the optic disc for glaucoma
Agarwal A
Eye 2022; 36: 441-447
92367 Automated detection of glaucoma with interpretable machine learning using clinical data and multi-modal retinal images
Petersen CA
American Journal of Ophthalmology 2021; 231: 154-169
92764 Ten-year-and-beyond longitudinal change of ß-zone parapapillary atrophy in glaucoma: association with retinal nerve fibre layer defect
Kim YW
British Journal of Ophthalmology 2022; 106: 1393-1398
92494 A multi-scale convolutional neural network with context for joint segmentation of optic disc and cup
Zhou L
Artificial Intelligence in Medicine 2021; 113: 102035
92846 Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning
Jammal AA
Ophthalmology 2021; 128: 383-392
92005 Macular pigment optical density change analysis in primary open-angle glaucoma and pseudoexfoliation glaucoma
Ucgun NI
International Ophthalmology 2021; 41: 2235-2240
92198 Comparison of spectral domain optical coherence tomography parameters between disc suspects and "pre-perimetric" glaucomatous discs classified on disc photo
David RL
Indian Journal of Ophthalmology 2021; 69: 603-610
92711 Smartphone-based Ophthalmic Imaging Compared With Spectral-domain Optical Coherence Tomography Assessment of Vertical Cup-to-disc Ratio Among Adults in Southwestern Uganda
Tran TM
Journal of Glaucoma 2021; 30: e90-e98
92764 Ten-year-and-beyond longitudinal change of ß-zone parapapillary atrophy in glaucoma: association with retinal nerve fibre layer defect
Kim YK
British Journal of Ophthalmology 2022; 106: 1393-1398
92226 Deep Learning Ensemble Method for Classifying Glaucoma Stages Using Fundus Photographs and Convolutional Neural Networks
Chung JK
Current Eye Research 2021; 0: 1-9