Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis - Wikidata - wikimedia - TriplyDB

Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis

Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis

http://www.wikidata.org/entity/Q34622966

about

A review on automatic analysis techniques for color fundus photographs Automated detection of diabetic retinopathy in retinal images Fundus photography as a convenient tool to study microvascular responses to cardiovascular disease risk factors in epidemiological studies A survey on computer aided diagnosis for ocular diseases Crowdsourcing as a novel technique for retinal fundus photography classification: analysis of images in the EPIC Norfolk cohort on behalf of the UK Biobank Eye and Vision Consortium.Statistics of optical coherence tomography data from human retina.Multiscale AM-FM methods for diabetic retinopathy lesion detection.Automated early detection of diabetic retinopathy.Retinal imaging as a source of biomarkers for diagnosis, characterization and prognosis of chronic illness or long-term conditions Automated detection of diabetic retinopathy: barriers to translation into clinical practice Telemedicine and ocular health in diabetes mellitus.Computational quantification of complex fundus phenotypes in age-related macular degeneration and Stargardt disease Retinal imaging and image analysis.Complement activation and choriocapillaris loss in early AMD: implications for pathophysiology and therapy.Advancing bag-of-visual-words representations for lesion classification in retinal images.Automated multi-lesion detection for referable diabetic retinopathy in indigenous health care.Automated discovery and quantification of image-based complex phenotypes: a twin study of drusen phenotypes in age-related macular degeneration.Automatic Exudate Detection from Non-dilated Diabetic Retinopathy Retinal Images Using Fuzzy C-means Clustering.Retinal Imaging Techniques for Diabetic Retinopathy Screening.Validation of tablet-based evaluation of color fundus images.Validating retinal fundus image analysis algorithms: issues and a proposal.Quantification of fluorescein-stained drusen associated with age-related macular degeneration.Automatic differentiation of color fundus images containing drusen or exudates using a contextual spatial pyramid approach Plus disease in retinopathy of prematurity: development of composite images by quantification of expert opinion.Automated detection and grading of diabetic maculopathy in digital retinal images.Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features.Algorithms for the automated detection of diabetic retinopathy using digital fundus images: a review.Automated retinal image analysis for diabetic retinopathy in telemedicine.Isolated cotton-wool spots of unknown etiology: management and sequential spectral domain optical coherence tomography documentation CLINICAL ENDPOINTS FOR THE STUDY OF GEOGRAPHIC ATROPHY SECONDARY TO AGE-RELATED MACULAR DEGENERATION.Fast detection of the optic disc and fovea in color fundus photographs.Screening for diabetic retinopathy using computer vision and physiological markers.Detection of Hard Exudates in Colour Fundus Images Using Fuzzy Support Vector Machine-Based Expert System.Automated detection of malarial retinopathy-associated retinal hemorrhages.A preliminary trial to determine whether prevention of dark adaptation affects the course of early diabetic retinopathy.Neovascularization detection in diabetic retinopathy from fluorescein angiograms.Retinal Lesion Detection With Deep Learning Using Image Patches.Detection of exudates in fundus photographs with imbalanced learning using conditional generative adversarial network Automatic Drusen Detection from Digital Retinal Images: AMD Prevention 3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images

P2860

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P2860

Automated detection and differentiation of drusen, exudates, and cotton-wool spots in digital color fundus photographs for diabetic retinopathy diagnosis

http://www.wikidata.org/entity/Q34622966

description

2007 nî lūn-bûn

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2007 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2007 թվականի մայիսին հրատարակված գիտական հոդված

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2007年の論文

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Automated detection and differ ...... diabetic retinopathy diagnosis

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Automated detection and differ ...... diabetic retinopathy diagnosis

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Automated detection and differ ...... diabetic retinopathy diagnosis

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Automated detection and differ ...... diabetic retinopathy diagnosis

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Automated detection and differ ...... diabetic retinopathy diagnosis

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Bram van Ginneken

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Maria S A Suttorp-Schulten

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Meindert Niemeijer

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P2860

Comparison of a digital retinal imaging system and seven-field stereo color fundus photography to detect diabetic retinopathy in the primary care environment.

Monoscopic versus stereoscopic photography in screening for clinically significant macular edema.

An economic analysis of interventions for diabetes.

Automatic detection of red lesions in digital color fundus photographs.

Web-based screening for diabetic retinopathy in a primary care population: the EyeCheck project.

Automated identification of diabetic retinal exudates in digital colour images.

Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.

Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features.

The automatic detection of the optic disc location in retinal images using optic disc location regression.

An image-processing strategy for the segmentation and quantification of microaneurysms in fluorescein angiograms of the ocular fundus.

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Stephen R Russell

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6369505

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