2017

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.

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.

Pogorelov, Konstantin, Eskeland, Sigrun, de Lange, Thomas, Griwodz, Carsten, Randel, Kristin, Stensland, Håkon, Dang-Nguyen, Duc-Tien ORCID: 0000-0002-2761-2213, Concetto, Spampinato, Johansen, Dag, Riegler, Michael and Halvorsen, Pål (2017) A holistic multimedia system for gastrointestinal tract disease detection. In: ACM Multimedia Systems (MMSys ’17), 20–23 June 2017, Taipei, Taiwan. ISBN 978-1-4503-5002-0

Pogorelov, Konstantin, Randel, Kristin, Griwodz, Carsten, de Lange, Thomas, Eskeland, Sigrun, Johansen, Dag, Spampinato, Concetto, Dang-Nguyen, Duc-Tien ORCID: 0000-0002-2761-2213, Lux, Mathias, Schmidt, Peter, Riegler, Michael and Halvorsen, Pål (2017) Kvasir: a multi-class image-dataset for computer aided gastrointestinal disease detection. In: ACM Multimedia Systems (MMSys ’17), 20-23 June 2017, Taipei, Taiwan. ISBN 123-4567-24-567