Validating retinal fundus image analysis algorithms: issues and a proposal. - Wikidata - wikimedia - TriplyDB

Validating retinal fundus image analysis algorithms: issues and a proposal.

Validating retinal fundus image analysis algorithms: issues and a proposal.

http://www.wikidata.org/entity/Q36135216

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A Review on Recent Developments for Detection of Diabetic Retinopathy Improving Consensus Scoring of Crowdsourced Data Using the Rasch Model: Development and Refinement of a Diagnostic Instrument Retinal imaging as a source of biomarkers for diagnosis, characterization and prognosis of chronic illness or long-term conditions Rapid grading of fundus photographs for diabetic retinopathy using crowdsourcing.Quality evaluation of digital fundus images through combined measures.Modulation of retinal image vasculature analysis to extend utility and provide secondary value from optical coherence tomography imaging.Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection.Automated retinal image analysis for diabetic retinopathy in telemedicine.DR HAGIS-a fundus image database for the automatic extraction of retinal surface vessels from diabetic patients.Similarity regularized sparse group lasso for cup to disc ratio computation.Crowdsourcing and Automated Retinal Image Analysis for Diabetic Retinopathy.Comparing humans and deep learning performance for grading AMD: A study in using universal deep features and transfer learning for automated AMD analysis.Tracking and diameter estimation of retinal vessels using Gaussian process and Radon transform.Retinal microvascular parameters are not associated with reduced renal function in a study of individuals with type 2 diabetes.Machine learning of neuroimaging for assisted diagnosis of cognitive impairment and dementia: A systematic review

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P2860

Validating retinal fundus image analysis algorithms: issues and a proposal.

http://www.wikidata.org/entity/Q36135216

description

2013 nî lūn-bûn

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Validating retinal fundus image analysis algorithms: issues and a proposal.

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Validating retinal fundus image analysis algorithms: issues and a proposal.

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Validating retinal fundus image analysis algorithms: issues and a proposal.

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Validating retinal fundus image analysis algorithms: issues and a proposal.

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Validating retinal fundus image analysis algorithms: issues and a proposal.

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Validating retinal fundus image analysis algorithms: issues and a proposal.

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Investigative Ophthalmology & Visual Science

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Validating retinal fundus image analysis algorithms: issues and a proposal.

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Alfredo Ruggeri

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Bal Dhillon

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Bashir Al-Diri

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Carol Y Cheung

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Damon Wong

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Dinesh Kumar

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Edward Chaum

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Fabrice Meriaudeau

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Gilbert Lim

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Herbert F Jelinek

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P2860

Global prevalence of diabetes: estimates for the year 2000 and projections for 2030

ORIGA(-light): an online retinal fundus image database for glaucoma analysis and research.

Evaluation of a portable fundus camera for use in the teleophthalmologic diagnosis of glaucoma.

Line-scanning laser ophthalmoscope.

Evaluation of diagnostic tests when there is no gold standard. A review of methods.

A pilot study using ROPtool to measure retinal vascular dilation.

Glaucoma risk index: automated glaucoma detection from color fundus images.

Automated diagnosis of glaucoma using texture and higher order spectra features.

Automated early detection of diabetic retinopathy.

Cost-effectiveness of interventions to prevent and control diabetes mellitus: a systematic review.

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3546-3559

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10.1167/IOVS.12-10347

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Gwénolé Quellec

Emanuele Trucco

Tom MacGillivray

Jean-Pierre Hubschman

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2013-05-01T00:00:00Z

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