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6.9.5 Other (119)
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Display all abstracts in classification 6.9.5 Other
Search within classification 6.9.5 Other91853 OCT Signal Enhancement with Deep Learning
Lazaridis G
Ophthalmology. Glaucoma 2021; 4: 295-304
91534 Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images
George Y
IEEE journal of biomedical and health informatics 2020; 24: 3421-3430
91056 Artificial intelligence (AI) impacting diagnosis of glaucoma and understanding the regulatory aspects of AI-based software as medical device
Prabhakar B
Computerized Medical Imaging and Graphics 2021; 87: 101818
90942 Applications of deep learning in detection of glaucoma: A systematic review
Mirzania D
European Journal of Ophthalmology 2020; 0: 1120672120977346
91496 A combined convolutional and recurrent neural network for enhanced glaucoma detection
Gheisari S
Scientific reports 2021; 11: 1945
91419 The Appropriateness of Digital Diabetic Retinopathy Screening Images for a Computer-Aided Glaucoma Screening System
Almazroa AA
Clinical Ophthalmology 2020; 14: 3881-3890
90995 Deep learning classification of early normal-tension glaucoma and glaucoma suspects using Bruch's membrane opening-minimum rim width and RNFL
Seo SB
Scientific reports 2020; 10: 19042
91853 OCT Signal Enhancement with Deep Learning
Lazaridis G
Ophthalmology. Glaucoma 2021; 4: 295-304
91744 Angle-closure assessment in anterior segment OCT images via deep learning
Hao H
Medical Image Analysis 2021; 69: 101956
91838 Digital Image Analysis of the Angle and Optic Nerve: A Simple, Fast, and Low-Cost Method for Glaucoma Assessment
Russell G
Journal of Ophthalmology 2020; 2020: 3595610
90982 Atlas-based score for automatic glaucoma risk stratification
Girard F
Computerized Medical Imaging and Graphics 2021; 87: 101797
91421 Glaucoma Detection from Raw SD-OCT Volumes: A Novel Approach Focused on Spatial Dependencies
García G
Computer Methods and Programs in Biomedicine 2021; 200: 105855
90960 Ganglion cell layer analysis with deep learning in glaucoma diagnosis
Díaz-Alemán VT
Archivos de la Sociedad Española de Oftalmologia 2021; 96: 181-188
91791 Deep learning in glaucoma with optical coherence tomography: a review
Ran AR
Eye 2021; 35: 188-201
91093 Joint optic disc and cup segmentation based on residual multi-scale fully convolutional neural network
Yuan X
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi 2020; 37: 875-884
91528 Predicting Glaucoma Development With Longitudinal Deep Learning Predictions From Fundus Photographs
Lee T
American Journal of Ophthalmology 2021; 225: 86-94
91858 Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples
Chang J
Ophthalmology 2021; 128: 78-88
91744 Angle-closure assessment in anterior segment OCT images via deep learning
Hao H
Medical Image Analysis 2021; 69: 101956
91404 An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus
Singh LK
Medical and Biological Engineering and Computing 2021; 59: 333-353
90900 Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice
Mursch-Edlmayr AS
Translational vision science & technology 2020; 9: 55
91093 Joint optic disc and cup segmentation based on residual multi-scale fully convolutional neural network
Zheng X
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi 2020; 37: 875-884
91838 Digital Image Analysis of the Angle and Optic Nerve: A Simple, Fast, and Low-Cost Method for Glaucoma Assessment
Hertzberg SNW
Journal of Ophthalmology 2020; 2020: 3595610
91404 An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus
Pooja
Medical and Biological Engineering and Computing 2021; 59: 333-353
90982 Atlas-based score for automatic glaucoma risk stratification
Hurtut T
Computerized Medical Imaging and Graphics 2021; 87: 101797
91858 Explaining the Rationale of Deep Learning Glaucoma Decisions with Adversarial Examples
Lee J
Ophthalmology 2021; 128: 78-88
