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Classification #6.9.5
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6.9.5 Other
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6.9.5 Other
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82099
Adaptive weighted locality-constrained sparse coding for glaucoma diagnosis
Zhou W
Medical and Biological Engineering and Computing
2019; 57: 2055-2067
82875
Glaucoma Assessment from OCT images using Capsule Network
Gaddipati DJ
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2019; 2019: 5581-5584
82023
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
Bajwa MN
BMC Medical Informatics and Decision Making
2019; 19: 136
82647
REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Orlando JI
Medical Image Analysis
2020; 59: 101570
82333
Automated anterior chamber angle pigmentation analyses using 360° gonioscopy
Matsuo M
British Journal of Ophthalmology
2019; 0:
82744
Glaucoma detection using image processing techniques: A literature review
Sarhan A
Computerized Medical Imaging and Graphics
2019; 78: 101657
82834
Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans
Mao Z
Biomedical optics express
2019; 10: 5832-5851
82088
Network-based features for retinal fundus vessel structure analysis
Amil P
PLoS ONE
2019; 14: e0220132
82871
Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor
Shang Q
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2019; 2019: 4745-4749
82866
Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks
Thakoor KA
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2019; 2019: 2036-2040
82788
Deep Learning Approaches Predict Glaucomatous Visual Field Damage from OCT Optic Nerve Head En Face Images and Retinal Nerve Fiber Layer Thickness Maps
Christopher M
Ophthalmology
2020; 127: 346-356
82109
Variance components for PIMD-2π estimation of the optic nerve head and consequences in clinical measurements of glaucoma
Sandberg Melin C
Acta Ophthalmologica
2020; 98: 190-194
82450
The impact of artificial intelligence in the diagnosis and management of glaucoma
Mayro EL
Eye
2020; 34: 1-11
82092
Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
Hemelings R
Acta Ophthalmologica
2020; 98: e94-e100
82872
A New Texture-Based Segmentation Method for Optical Coherence Tomography Images
Monemian M
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2019; 2019: 4750-4753
82862
Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Hao H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2019; 2019: 849-852
82776
Automated detection of glaucoma using optical coherence tomography angiogram images
Chan YM
Computers in Biology and Medicine
2019; 115: 103483
82453
Fully automated method for glaucoma screening using robust optic nerve head detection and unsupervised segmentation based cup-to-disc ratio computation in retinal fundus images
Mvoulana A
Computerized Medical Imaging and Graphics
2019; 77: 101643
82865
Conditional Adversarial Transfer for Glaucoma Diagnosis
Wang J
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2019; 2019: 2032-2035
81895
Smartphone-aided Quantification of Iridocorneal Angle
Pujari A
Journal of Glaucoma
2019; 28: e153-e155
81601
Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation
Wang S
IEEE Transactions on Medical Imaging
2019; 38: 2485-2495
82862
Anterior Chamber Angles Classification in Anterior Segment OCT Images via Multi-Scale Regions Convolutional Neural Networks
Hao H
Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society
2019; 2019: 849-852
82691
Clinical Interpretable Deep Learning Model for Glaucoma Diagnosis
Liao W
IEEE journal of biomedical and health informatics
2019; 0:
82796
Multi-indices quantification of optic nerve head in fundus image via multitask collaborative learning
Zhao R
Medical Image Analysis
2020; 60: 101593
82499
Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs
Phene S
Ophthalmology
2019; 126: 1627-1639
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