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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Quellec, G. Lamard, M. Cochener, B. Droueche, Z. Lay, B. Chabouis, A. Roux, C. Cazuguel, G. |
| Copyright Year | 2012 |
| Description | Author affiliation: Inserm, Brest, France (Quellec, G.; Lamard, M.; Cochener, B.; Droueche, Z.; Roux, C.; Cazuguel, G.) || ADCIS, St. Contest, France (Lay, B.) || Service d'Ophtalmologie, Hopital Lariboisiere - APHP, Paris, France (Chabouis, A.) |
| Abstract | In recent years, many image analysis algorithms have been presented to assist Diabetic Retinopathy (DR) screening. The goal was usually to detect healthy examination records automatically, in order to reduce the number of records that should be analyzed by retinal experts. In this paper, a novel application is presented: these algorithms are used to 1) discover image characteristics that sometimes cause an expert to disagree with his/her peers and 2) warn the expert whenever these characteristics are detected in an examination record. In a DR screening program, each examination record is only analyzed by one expert, therefore analyzing disagreements among experts is challenging. A statistical framework, based on Parzen-windowing and the Patrick-Fischer distance, is presented to solve this problem. Disagreements among eleven experts from the Ophdiat screening program were analyzed, using an archive of 25,702 examination records. |
| Sponsorship | IEEE Eng. Medicine Biol. Soc. |
| Starting Page | 5959 |
| Ending Page | 5962 |
| File Size | 1735246 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441198 |
| ISSN | 1557170X |
| e-ISBN | 9781457717871 |
| DOI | 10.1109/EMBC.2012.6347351 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Retina Diabetes Image quality Algorithm design and analysis Retinopathy Training |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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