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6.9.5 Other (65)
Showing records 1 to 25
Display all abstracts in classification 6.9.5 Other
Search within classification 6.9.5 Other79350 A deep learning model for the detection of both advanced and early glaucoma using fundus photography
Ahn JM
PLoS ONE 2018; 13: e0207982
80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
MacCormick IJC
PLoS ONE 2019; 14: e0209409
79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Shigueoka LS
PLoS ONE 2018; 13: e0207784
79439 A Unified Optic Nerve Head and Optic Cup Segmentation Using Unsupervised Neural Networks for Glaucoma Screening
Ghassabi Z
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2018; 2018: 5942-5945
79441 Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection
Jiang Y
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2018; 2018: 862-865
79863 A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs
Thompson AC
American Journal of Ophthalmology 2019; 201: 9-18
79598 From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs
Medeiros FA
Ophthalmology 2019; 126: 513-521
79681 Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma
Keel S
JAMA ophthalmology 2019; 137: 288-292
79704 Artificial intelligence in glaucoma
Zheng C
Current Opinions in Ophthalmology 2019; 30: 97-103
79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Christopher M
Scientific reports 2018; 8: 16685
79559 Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
Maheshwari S
Computers in Biology and Medicine 2019; 105: 72-80
79598 From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs
Jammal AA
Ophthalmology 2019; 126: 513-521
79815 Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma
Vasconcellos JPC
PLoS ONE 2018; 13: e0207784
79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Belghith A
Scientific reports 2018; 8: 16685
79704 Artificial intelligence in glaucoma
Johnson TV
Current Opinions in Ophthalmology 2019; 30: 97-103
79863 A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs
Jammal AA
American Journal of Ophthalmology 2019; 201: 9-18
79441 Optic Disc and Cup Segmentation with Blood Vessel Removal from Fundus Images for Glaucoma Detection
Xia H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2018; 2018: 862-865
79350 A deep learning model for the detection of both advanced and early glaucoma using fundus photography
Kim S
PLoS ONE 2018; 13: e0207982
79681 Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma
Wu J
JAMA ophthalmology 2019; 137: 288-292
80020 Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile
Williams BM
PLoS ONE 2019; 14: e0209409
79439 A Unified Optic Nerve Head and Optic Cup Segmentation Using Unsupervised Neural Networks for Glaucoma Screening
Shanbehzadeh J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2018; 2018: 5942-5945
79559 Automated glaucoma diagnosis using bit-plane slicing and local binary pattern techniques
Kanhangad V
Computers in Biology and Medicine 2019; 105: 72-80
79468 Performance of Deep Learning Architectures and Transfer Learning for Detecting Glaucomatous Optic Neuropathy in Fundus Photographs
Bowd C
Scientific reports 2018; 8: 16685
79681 Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma
Lee PY
JAMA ophthalmology 2019; 137: 288-292
79704 Artificial intelligence in glaucoma
Garg A
Current Opinions in Ophthalmology 2019; 30: 97-103
