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A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection

Authors: 

Konstantin Pogorelov, Michael Riegler, Paal Halvorsen, Carsten Griwodz, Thomas de Lange, Kristin Randel, Sigrun Eskeland, Duc Tien Dang Nguyen, Olga Ostroukhova, Mathias Lux, Concetto Spampinato

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
This paper presents our approach for the 2017 Multimedia for Medicine Medico Task of the MediaEval 2017 Benchmark. We propose a system based on global features and deep neural networks, and preliminary results comparing the approaches are presented.
Conference Name: 
MediaEval 2017 Multimedia Benchmark Workshop
Proceedings: 
Proceedings of the MediaEval 2017 Multimedia Benchmark Workshop
Digital Object Identifer (DOI): 
10.na
Publication Date: 
13/09/2017
Conference Location: 
Ireland
Research Group: 
Media Analytics
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes
http://doras.dcu.ie/22033/