Journal
IRBM
Volume 34, Issue 2, Pages 196-203Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.irbm.2013.01.010
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Funding
- French National Research Agency (ANR) through TECSAN programme [ANR-09-TECS-015]
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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. (C) 2013 Elsevier Masson SAS. All rights reserved.
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