A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection (bibtex)
@INPROCEEDINGS{mluxmartina2017, language = {EN}, author = {Pogorelov, Konstantin and Riegler, Michael and Halvorsen, Pal and Griwodz, Carsten and de Lange, Thomas and Randel, Kristin and Eskeland, Sigrun and Dang-Ngyuen, Duc-Tien and Ostroukhova, Olga and Lux, Mathias and Spampinato, Concetto}, title = {A Comparison of Deep Learning with Global Features for Gastrointestinal Disease Detection}, editor = {Gravier, Guillaume and Bischke, Benjamin and Demarty, Claire-Hélène and Zaharieva, Maia and Riegler, Michael and Dellandrea, Emmanuel and Bogdanov, Dmitry and Sutcliffe, Richard and Jones, Gareth and Larson, Martha}, talktype = {registered}, location = {Dublin, Ireland}, talkdate = {2017.09.14}, booktitle = {Working Notes Proceedings of the MediaEval 2017 Workshop}, publisher = {CEUR Workshop Proceedings}, address = {Dublin, Ireland}, pages = {3}, month = {sep}, year = {2017}, 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.}, url = {http://ceur-ws.org/Vol-1984/} }
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