A comparison of deep learning with global features for gastrointestinal disease detection

Pogorelov, Konstantin, Riegler, Michael, Halvorsen, Pål, Griwodz, Carsten, de Lange, Thomas, Randel, Kristin, Eskeland, Sigrun, Dang-Nguyen, Duc-Tien ORCID: 0000-0002-2761-2213, Ostroukhova, Olga, Lux, Mathias and Spampinato, Concetto (2017) A comparison of deep learning with global features for gastrointestinal disease detection. In: MediaEval 2017 Multimedia Benchmark Workshop, 13-16 Sept 2017, Dublin, Ireland.

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Abstract

This paper presents our approach for the 2017 Multimedia for Medicine Medico Task of the MediaEval 2017 Benchmark. We pro- pose a system based on global features and deep neural networks, and preliminary results comparing the approaches are presented.

Item Type:	Conference or Workshop Item (Paper)
Event Type:	Workshop
Refereed:	Yes
Subjects:	Computer Science > Machine learning 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. 76(21). Springer.
Publisher:	Springer
Official URL:	https://doi.org/10.1007/s11042-017-4989-y
Copyright Information:	© 2017. Copyright held by the owner/author(s)
Use License:	This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:	FRINATEK project ”EONS” #231687
ID Code:	22033
Deposited On:	22 Sep 2017 13:22 by Duc-Tien Dang-Nguyen . Last Modified 08 Nov 2021 15:02

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