AIMC Topic: Optic Disk

Clear Filters Showing 161 to 169 of 169 articles

Diagnosis of Glaucoma on Retinal Fundus Images Using Deep Learning: Detection of Nerve Fiber Layer Defect and Optic Disc Analysis.

Advances in experimental medicine and biology Jan 1, 2020
Early detection of glaucoma is important to slow down progression of the disease and to prevent total vision loss. Retinal fundus photography is frequently obtained for various eye disease diagnosis and record and is a suitable screening exam for its...
Fundus Oculi Nerve Fibers Optic Disk Humans Glaucoma Deep Learning
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Evaluation of a Deep Learning System For Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

Journal of glaucoma Dec 1, 2019
PRECIS: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the "best case" consensus between the ophthalmologists. The agreem...
Humans Retrospective Studies Photography Ophthalmologists Glaucoma, Open-Angle Optic Disk Optic Nerve Diseases Diagnostic Techniques, Ophthalmological Middle Aged Sensitivity and Specificity Female Diagnosis, Computer-Assisted Aged Deep Learning Intraocular Pressure Adult ROC Curve Male Area Under Curve Observer Variation
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Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks.

Journal of digital imaging Jun 1, 2019
Automatic segmentation of the retinal vasculature and the optic disc is a crucial task for accurate geometric analysis and reliable automated diagnosis. In recent years, Convolutional Neural Networks (CNN) have shown outstanding performance compared ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Retinal Vessels Optic Disk Pattern Recognition, Automated Ophthalmoscopy
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A Unified Optic Nerve Head and Optic Cup Segmentation Using Unsupervised Neural Networks for Glaucoma Screening.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Segmentation of retinal anatomical features such as optic nerve head (ONH) and optic cup, the brightest area in the center of ONH which is devoid of neural elements, is a prerequisite for computer-aided diagnosis and follow-up of glaucoma. The ONH se...
Optic Disk Diagnostic Techniques, Ophthalmological Glaucoma Algorithms Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Joint Optic Disc and Cup Segmentation Based on Multi-Label Deep Network and Polar Transformation.

IEEE transactions on medical imaging Jul 1, 2018
Glaucoma is a chronic eye disease that leads to irreversible vision loss. The cup to disc ratio (CDR) plays an important role in the screening and diagnosis of glaucoma. Thus, the accurate and automatic segmentation of optic disc (OD) and optic cup (...
Image Interpretation, Computer-Assisted Optic Disk Diagnostic Techniques, Ophthalmological Humans Glaucoma Databases, Factual Deep Learning
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Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression.

Investigative ophthalmology & visual science Jun 1, 2018
PURPOSE: To apply computational techniques to wide-angle swept-source optical coherence tomography (SS-OCT) images to identify novel, glaucoma-related structural features and improve detection of glaucoma and prediction of future glaucomatous progres...
Tonometry, Ocular Humans Retrospective Studies Female Aged Adult Intraocular Pressure Nerve Fibers Optic Disk Retinal Ganglion Cells Unsupervised Machine Learning Visual Field Tests Male Principal Component Analysis Optic Nerve Diseases Tomography, Optical Coherence Glaucoma, Open-Angle Middle Aged Disease Progression
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Machine Learning Based Automatic Neovascularization Detection on Optic Disc Region.

IEEE journal of biomedical and health informatics May 1, 2018
In this paper, the automatic detection of neovascularization in the optic disc region (NVD) for color fundus retinal image is presented. NV is the indicator for the onset of proliferative diabetic retinopathy and it is featured by the presence of new...
Image Interpretation, Computer-Assisted Humans Optic Disk Diabetic Retinopathy Diagnostic Techniques, Ophthalmological Machine Learning Support Vector Machine Neovascularization, Pathologic
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A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head.

Investigative ophthalmology & visual science Jan 1, 2018
PURPOSE: To develop a deep learning approach to digitally stain optical coherence tomography (OCT) images of the optic nerve head (ONH).
Male Middle Aged Humans Tomography, Optical Coherence Nerve Fibers Glaucoma Visual Fields Optic Disk Female Machine Learning Retinal Ganglion Cells Reproducibility of Results Algorithms Adult
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Automatic detection of neovascularization on optic disk region with feature extraction and support vector machine.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Neovascularization (NV) is a definitive indicator for the onset of Proliferative Diabetic Retinopathy (PDR). The new vessels are fragile and prone to bleed, leading to high risk of sudden vision loss. Automatic detection of NV is an important task in...
Image Interpretation, Computer-Assisted Humans Image Processing, Computer-Assisted Optic Disk Diabetic Retinopathy Support Vector Machine Algorithms Neovascularization, Pathologic
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