Riegler, Michael, Pogorelov, Konstantin, Halvorsen, Pål, Griwodz, Carsten, Lange, Thomas, Randel, Kristin, Eskeland, Sigrun, Dang-Nguyen, Duc-Tien 
ORCID: 0000-0002-2761-2213, Lux, Mathias and Spampinato, Concetto
(2017)
Multimedia for medicine: the medico task at MediaEval 2017.
In: MediaEval 2017 Multimedia Benchmark Workshop, 13-15 Sept 2017, Dublin.
Abstract
The Multimedia for Medicine Medico Task, running for the rst time as part of MediaEval 2017, focuses on detecting abnormalities, diseases and anatomical landmarks in images captured by medical devices in the gastrointestinal tract. The task characteristics are described, including the use case and its challenges, the dataset with ground truth, the required participant runs and the evaluation metrics.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Workshop |
| Refereed: | Yes |
| Subjects: | Computer Science > Machine learning Computer Science > Information storage and retrieval systems Computer Science > Image processing Computer Science > Information retrieval |
| DCU Faculties and Centres: | Research Institutes and Centres > INSIGHT Centre for Data Analytics |
| Published in: | MediaEval 2017 Multimedia Benchmark Workshop. . |
| Copyright Information: | © 2017 The Owner/Authors |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| ID Code: | 22034 |
| Deposited On: | 22 Sep 2017 15:27 by Duc-Tien Dang-Nguyen . Last Modified 08 Nov 2021 14:54 |
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