TeleOphta: Machine learning and image processing methods for teleophthalmology

E. Decencière; G. Cazuguel; X. Zhang; G. Thibault; J. C. Klein; F. Meyer; B. Marcotegui; G. Quellec; M. Lamard; R. Danno; D. Elie; P. Massin; Z. Viktor; A. Erginay; B. Laÿ; A. Chabouis

doi:10.1016/j.irbm.2013.01.010

TeleOphta: Machine learning and image processing methods for teleophthalmology

E. Decencière, G. Cazuguel, X. Zhang, G. Thibault, J. C. Klein, F. Meyer, B. Marcotegui, G. Quellec, M. Lamard, R. Danno, D. Elie, P. Massin, Z. Viktor, A. Erginay, B. Laÿ, A. Chabouis

Research output: Contribution to journal › Article › peer-review

366 Scopus citations

Abstract

A complete prototype for the automatic detection of normal examinations on a teleophthalmology network for diabetic retinopathy screening is presented. The system combines pathological pattern mining methods, with specific lesion detection methods, to extract information from the images. This information, plus patient and other contextual data, is used by a classifier to compute an abnormality risk. Such a system should reduce the burden on readers on teleophthalmology networks.

Original language	English (US)
Pages (from-to)	196-203
Number of pages	8
Journal	IRBM
Volume	34
Issue number	2
DOIs	https://doi.org/10.1016/j.irbm.2013.01.010
State	Published - Apr 2013
Externally published	Yes

ASJC Scopus subject areas

Biophysics
Biomedical Engineering

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10.1016/j.irbm.2013.01.010

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title = "TeleOphta: Machine learning and image processing methods for teleophthalmology",

abstract = "A complete prototype for the automatic detection of normal examinations on a teleophthalmology network for diabetic retinopathy screening is presented. The system combines pathological pattern mining methods, with specific lesion detection methods, to extract information from the images. This information, plus patient and other contextual data, is used by a classifier to compute an abnormality risk. Such a system should reduce the burden on readers on teleophthalmology networks.",

author = "E. Decenci{\`e}re and G. Cazuguel and X. Zhang and G. Thibault and Klein, {J. C.} and F. Meyer and B. Marcotegui and G. Quellec and M. Lamard and R. Danno and D. Elie and P. Massin and Z. Viktor and A. Erginay and B. La{\"y} and A. Chabouis",

note = "Funding Information: This work has been supported by the French National Research Agency (ANR) through TECSAN programme (ANR-09-TECS-015). ",

year = "2013",

month = apr,

doi = "10.1016/j.irbm.2013.01.010",

language = "English (US)",

volume = "34",

pages = "196--203",

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TY - JOUR

T1 - TeleOphta

T2 - Machine learning and image processing methods for teleophthalmology

AU - Decencière, E.

AU - Cazuguel, G.

AU - Zhang, X.

AU - Thibault, G.

AU - Klein, J. C.

AU - Meyer, F.

AU - Marcotegui, B.

AU - Quellec, G.

AU - Lamard, M.

AU - Danno, R.

AU - Elie, D.

AU - Massin, P.

AU - Viktor, Z.

AU - Erginay, A.

AU - Laÿ, B.

AU - Chabouis, A.

N1 - Funding Information: This work has been supported by the French National Research Agency (ANR) through TECSAN programme (ANR-09-TECS-015).

PY - 2013/4

Y1 - 2013/4

N2 - A complete prototype for the automatic detection of normal examinations on a teleophthalmology network for diabetic retinopathy screening is presented. The system combines pathological pattern mining methods, with specific lesion detection methods, to extract information from the images. This information, plus patient and other contextual data, is used by a classifier to compute an abnormality risk. Such a system should reduce the burden on readers on teleophthalmology networks.

AB - A complete prototype for the automatic detection of normal examinations on a teleophthalmology network for diabetic retinopathy screening is presented. The system combines pathological pattern mining methods, with specific lesion detection methods, to extract information from the images. This information, plus patient and other contextual data, is used by a classifier to compute an abnormality risk. Such a system should reduce the burden on readers on teleophthalmology networks.

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TeleOphta: Machine learning and image processing methods for teleophthalmology

Abstract

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