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. Th...
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| Veröffentlicht in: | Ingénierie et recherche biomédicale 2013-04, Vol.34 (2), p.196-203 |
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| container_title | Ingénierie et recherche biomédicale |
| container_volume | 34 |
| creator | Decencière, E Cazuguel, G Zhang, X Thibault, G Klein, J.-C Meyer, F Marcotegui, B Quellec, G Lamard, M Danno, R Elie, D Massin, P Viktor, Z Erginay, A Laÿ, B Chabouis, A |
| description | 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. |
| doi_str_mv | 10.1016/j.irbm.2013.01.010 |
| format | Article |
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| fulltext | fulltext |
| identifier | ISSN: 1959-0318 |
| ispartof | Ingénierie et recherche biomédicale, 2013-04, Vol.34 (2), p.196-203 |
| issn | 1959-0318 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_00881686v1 |
| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Computer Science Image Processing Internal Medicine |
| title | TeleOphta: Machine learning and image processing methods for teleophthalmology |
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