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Ophthalmology (Rochester, Minn.), ISSN 0161-6420, 03/2017, Volume 124, Issue 3, pp. 343 - 351
Life Sciences & Biomedicine | Ophthalmology | Science & Technology | Economics, Medical | Predictive Value of Tests | Physical Examination - methods | Reproducibility of Results | Humans | Image Interpretation, Computer-Assisted - methods | Middle Aged | False Negative Reactions | Male | Mass Screening - methods | Diabetic Retinopathy - diagnosis | Cost-Benefit Analysis | Sensitivity and Specificity | Adolescent | Aged, 80 and over | Diabetic Retinopathy - economics | Adult | Female | Aged | Software | Decision Trees | Child | Diabetic retinopathy | Diagnostic imaging | Comparative analysis | Medical care, Cost of | Index Medicus
Journal Article
JAMA ophthalmology, ISSN 2168-6165, 01/2019, Volume 137, Issue 1, pp. 65 - 73
Life Sciences & Biomedicine | Ophthalmology | Science & Technology | Severity of Illness Index | Diabetic Retinopathy - diagnostic imaging | Prospective Studies | Cross-Sectional Studies | Humans | Middle Aged | Male | Diabetes Mellitus, Type 1 - complications | Diagnostic Techniques, Ophthalmological - standards | Sensitivity and Specificity | Female | Aged | Diabetes Mellitus, Type 2 - complications | Photography - methods | Diabetic retinopathy | Medical imaging | Retinopathy | Statistical analysis | Medical treatment | Diabetes mellitus | Clinical trials | Data processing | Retina | Diabetes mellitus (insulin dependent) | Clinical outcomes | Eye | Diabetes mellitus (non-insulin dependent)
Journal Article
Medical image analysis, ISSN 1361-8415, 07/2017, Volume 39, pp. 178 - 193
Deep learning | Diabetic retinopathy screening | Image mining | Lesion detection | Engineering | Computer Science, Interdisciplinary Applications | Life Sciences & Biomedicine | Technology | Engineering, Biomedical | Radiology, Nuclear Medicine & Medical Imaging | Computer Science | Computer Science, Artificial Intelligence | Science & Technology | Artifacts | Retina - diagnostic imaging | Diabetic Retinopathy - diagnostic imaging | Algorithms | Humans | Image Interpretation, Computer-Assisted - methods | Machine Learning | Data Mining - methods | Diabetic retinopathy | Data mining | Analysis | Detectors | Medical imaging equipment | Competition | Retinopathy | Segmentation | Image processing | Back propagation | Medical diagnosis | Cotton | Hemorrhage | Pixels | Image detection | Boxes | Eye | Spots | Lesions | Medical imaging | Decision making | Diabetes mellitus | Medical screening | Decision analysis | Eyes & eyesight | Pathology | Learning algorithms | Image segmentation | Exudates | Screening | Image analysis | Machine learning | Biomarkers | Photographs | Exudation | Diabetes | Wool | Image classification | Index Medicus | Computer Science - Computer Vision and Pattern Recognition
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 03/2017, Volume 44, Issue 3, pp. 914 - 923
Markov–Gibbs random field (MGRF) | non‐negativity‐constrained autoencoder (NCAE) | joint image‐region‐map model | optical coherence tomography (OCT) | diabetic retinopathy (DR) | joint image-region-map model | Markov-Gibbs random field (MGRF) | non-negativity-constrained autoencoder (NCAE) | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Diabetic Retinopathy - diagnostic imaging | Humans | Image Interpretation, Computer-Assisted - methods | Middle Aged | Male | Tomography, Optical Coherence - methods | Machine Learning | Retina - diagnostic imaging | Sensitivity and Specificity | Adult | Female | Aged | Pattern Recognition, Automated | Index Medicus
Journal Article
Ophthalmology (Rochester, Minn.), ISSN 0161-6420, 2015, Volume 122, Issue 5, pp. 949 - 956
Ophthalmology | Life Sciences & Biomedicine | Science & Technology | Retinal Neovascularization - diagnosis | Vitreous Hemorrhage - diagnosis | Prospective Studies | Follow-Up Studies | Glycated Hemoglobin A - metabolism | Humans | Middle Aged | Risk Factors | Male | Disease Progression | Diagnostic Imaging - methods | Retinal Vessels - pathology | Young Adult | Diabetic Retinopathy - diagnosis | Retinal Hemorrhage - diagnosis | Retinal Detachment - diagnosis | Adolescent | Adult | Female | Aged | Cohort Studies | Diagnostic Techniques, Ophthalmological | Diabetic retinopathy | Index Medicus
Journal Article
JAMA ophthalmology, ISSN 2168-6165, 07/2019, Volume 137, Issue 7, pp. 786 - 792
Life Sciences & Biomedicine | Ophthalmology | Science & Technology | Humans | Middle Aged | Male | India | Diagnostic Imaging - methods | Diabetic Retinopathy - diagnosis | Diagnostic Tests, Routine | Telemedicine - methods | Vision Screening - methods | Ambulatory Care Facilities | Female | Aged | Referral and Consultation | Program Evaluation | Odds Ratio | Cluster Analysis | Diabetic retinopathy | Retinopathy | Diabetes mellitus | Clinical trials | Retina | Diabetes | Patients
Journal Article
The New England journal of medicine, ISSN 0028-4793, 01/2004, Volume 350, Issue 1, pp. 48 - 58
Medicine, General & Internal | Life Sciences & Biomedicine | General & Internal Medicine | Science & Technology | Biological and medical sciences | Medical sciences | Ophthalmology | Retinopathies | Light Coagulation | Serpins - genetics | Humans | Serpins - secretion | Diabetic Retinopathy - pathology | Vascular Endothelial Growth Factor A - antagonists & inhibitors | Diabetic Retinopathy - therapy | Regional Blood Flow | Oxygen - blood | Retinal Vessels - physiology | Diabetic Retinopathy - genetics | Human Growth Hormone - antagonists & inhibitors | Vascular Endothelial Growth Factor A - secretion | Proteins - genetics | Diabetic Retinopathy - diagnosis | Proteins - secretion | Nerve Growth Factors | Ultrasonography | Retinal Vessels - diagnostic imaging | Eye Proteins | Physiological aspects | Diabetic retinopathy | Care and treatment | Diagnosis | Retina | Diabetes | Index Medicus | Abridged Index Medicus
Journal Article
JAMA : the journal of the American Medical Association, ISSN 0098-7484, 12/2016, Volume 316, Issue 22, pp. 2402 - 2410
Medicine, General & Internal | Life Sciences & Biomedicine | General & Internal Medicine | Science & Technology | Diabetic Retinopathy - diagnostic imaging | Humans | Middle Aged | Male | Machine Learning | Photography | Ophthalmologists | Algorithms | Macular Edema - diagnostic imaging | Sensitivity and Specificity | Female | Fundus Oculi | Observer Variation | Neural Networks (Computer) | Diabetic retinopathy | Edema | Ophthalmology | Artificial intelligence
Journal Article
Retina (Philadelphia, Pa.), ISSN 0275-004X, 2017, Volume 37, Issue 1, pp. 11 - 21
Retinal vasculature | Diabetic retinopathy | Choriocapillaris | Angiography | Optical coherence tomography | Optical coherence tomography angiography | Life Sciences & Biomedicine | Ophthalmology | Science & Technology | Choroid - diagnostic imaging | Diabetic Retinopathy - diagnostic imaging | Prospective Studies | Capillaries - pathology | Humans | Middle Aged | Microvessels - pathology | Male | Case-Control Studies | Diabetic Retinopathy - physiopathology | Retinal Vessels - pathology | Young Adult | Retinal Vessels - diagnostic imaging | Adult | Female | Retinal Neovascularization - diagnostic imaging | Fluorescein Angiography | Cross-Sectional Studies | Retina - physiopathology | Choroid - blood supply | Tomography, Optical Coherence - methods | Regional Blood Flow | Retina - diagnostic imaging | Aged | Capillaries - diagnostic imaging | Retinal Neovascularization - pathology | Index Medicus
Journal Article
JAMA ophthalmology, ISSN 2168-6165, 04/2017, Volume 135, Issue 4, pp. 370 - 376
Life Sciences & Biomedicine | Ophthalmology | Science & Technology | Diabetic Retinopathy - diagnostic imaging | Prospective Studies | Capillaries - pathology | Cross-Sectional Studies | Tomography, Optical Coherence | Humans | Middle Aged | Male | Healthy Volunteers | Retinal Vessels - pathology | Diabetic Retinopathy - diagnosis | Retinal Vessels - diagnostic imaging | Female | ROC Curve | Aged | Capillaries - diagnostic imaging | Visual Acuity - physiology | Fluorescein Angiography
Journal Article
Vision research (Oxford), ISSN 0042-6989, 10/2017, Volume 139, pp. 187 - 190