Automated identification of diabetic retinopathy stages using digital fundus images (Q39845514)

15 September 2017

Automated identification of diabetic retinopathy stages using digital fundus images (English)

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15 September 2017

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Jagadish Nayak

1

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15 September 2017

P Subbanna Bhat

2

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15 September 2017

Rajendra Acharya

3

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15 September 2017

C M Lim

4

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15 September 2017

Manjunath Kagathi

5

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15 September 2017

1 April 2008

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Journal of Medical Systems

15 September 2017

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15 September 2017

32

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15 September 2017

2

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15 September 2017

107-115

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https://scigraph.springernature.com/pub.10.1007/s10916-007-9113-9

15 September 2017

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cites work

Quantification of diabetic maculopathy by digital imaging of the fundus

1 reference

Crossref

https://api.crossref.org/works/10.1007%2FS10916-007-9113-9

Comparison of diagnosis of early retinal lesions of diabetic retinopathy between a computer system and human experts

21 January 2018

1 reference

Crossref

https://api.crossref.org/works/10.1007%2FS10916-007-9113-9

Assessment of non-mydriatic fundus photography in detection of diabetic retinopathy.

21 January 2018

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12 December 2020

Image analysis of fundus photographs. The detection and measurement of exudates associated with diabetic retinopathy.

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12 December 2020

A contribution of image processing to the diagnosis of diabetic retinopathy--detection of exudates in color fundus images of the human retina

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12 December 2020

A comparative evaluation of digital imaging, retinal photography and optometrist examination in screening for diabetic retinopathy

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12 December 2020

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

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12 December 2020

Early detection of diabetes retinopathy by new algorithms for automatic recognition of vascular changes.

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12 December 2020

Detection of blood vessels in retinal images using two-dimensional matched filters

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12 December 2020

Automated detection of diabetic retinopathy on digital fundus images.

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12 December 2020

How effective are treatments for diabetic retinopathy?

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12 December 2020

Automated detection and quantification of microaneurysms in fluorescein angiograms

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12 December 2020

Photocoagulation for diabetic macular edema. Early Treatment Diabetic Retinopathy Study report number 1. Early Treatment Diabetic Retinopathy Study research group

1 reference

12 December 2020

A comparison of computer based classification methods applied to the detection of microaneurysms in ophthalmic fluorescein angiograms.

1 reference

12 December 2020

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

1 reference

12 December 2020

Automated detection of fundus photographic red lesions in diabetic retinopathy

1 reference

12 December 2020

Detection of Diabetic Retinopathy in the Community Using a Non-mydriatic Camera

1 reference

12 December 2020

Automated identification of diabetic retinal exudates in digital colour images

1 reference

12 December 2020

Automated detection and quantification of retinal exudates.

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12 December 2020

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

1 reference

12 December 2020

10.1007/S10916-007-9113-9

Identifiers

DOI

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15 September 2017

journals/jms/NayakBAMK08

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DBLP Dataset 2021-01-02

28 January 2021

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