Automated detection of diabetic retinopathy: barriers to translation into clinical practice (Q34027151)

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:20214432%20AND%20SRC:MED&resulttype=core&format=json

19 January 2020

title

Automated detection of diabetic retinopathy: barriers to translation into clinical practice (English)

1 reference

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19 January 2020

1 reference

1

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19 January 2020

Stephen R Russell

series ordinal

3

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19 January 2020

author name string

Meindert Niemeijer

series ordinal

2

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19 January 2020

publication date

1 March 2010

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Expert Review of Medical Devices

19 January 2020

published in

1 reference

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19 January 2020

volume

7

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19 January 2020

issue

2

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19 January 2020

page(s)

287-296

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Automated early detection of diabetic retinopathy

19 January 2020

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Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes: response to Abramoff et al

28 July 2018

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Evaluation of a system for automatic detection of diabetic retinopathy from color fundus photographs in a large population of patients with diabetes

28 July 2018

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28 July 2018

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Cost-effectiveness of implementing automated grading within the national screening programme for diabetic retinopathy in Scotland

28 July 2018

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The efficacy of automated "disease/no disease" grading for diabetic retinopathy in a systematic screening programme

28 July 2018

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

28 July 2018

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28 July 2018

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Automatic detection of red lesions in digital color fundus photographs.

28 July 2018

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The accuracy of digital-video retinal imaging to screen for diabetic retinopathy: an analysis of two digital-video retinal imaging systems using standard stereoscopic seven-field photography and dilated clinical examination as reference standards

28 July 2018

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Telehealth practice recommendations for diabetic retinopathy

28 July 2018

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Addition of primary care-based retinal imaging technology to an existing eye care professional referral program increased the rate of surveillance and treatment of diabetic retinopathy

28 July 2018

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Single-field fundus photography for diabetic retinopathy screening: a report by the American Academy of Ophthalmology

28 July 2018

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Automated detection of diabetic retinopathy in digital retinal images: a tool for diabetic retinopathy screening

28 July 2018

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Automated detection of diabetic retinopathy on digital fundus images.

28 July 2018

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2911785

Automated detection of microaneurysms in digital red-free photographs: a diabetic retinopathy screening tool

28 July 2018

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https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2911785

An economic analysis of interventions for diabetes

28 July 2018

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Automated localisation of the optic disc, fovea, and retinal blood vessels from digital colour fundus images.

28 July 2018

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

28 July 2018

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21 January 2018

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21 January 2018

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12 December 2020

A screening approach to the surveillance of patients with diabetes for the presence of vision-threatening retinopathy

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12 December 2020

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Identifiers

DOI

10.1586/ERD.09.76

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:20214432%20AND%20SRC:MED&resulttype=core&format=json

19 January 2020

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:20214432%20AND%20SRC:MED&resulttype=core&format=json

19 January 2020

1 reference