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Multimedia for medicine: the medico task at MediaEval 2017

Riegler, Michael, Pogorelov, Konstantin, Halvorsen, Pål, Griwodz, Carsten, Lange, Thomas, Randel, Kristin, Eskeland, Sigrun, Dang-Nguyen, Duc-Tien orcid logoORCID: 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 Initiatives 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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