Kvasir: A multi-class image dataset for computer aided gastrointestinal disease detection

Proceedings of the 8th ACM Multimedia Systems Conference, MMSys 2017

Volumn , Issue , 2017, Pages 164-169

  Pogorelov, Konstantin ^a,b   Randel, Kristin Ranheim ^b,c   Griwodz, Carsten ^a,b   Eskeland, Sigrun Losada ^d   De Lange, Thomas ^c,d   Johansen, Dag ^e   Spampinato, Concetto ^f   Dang Nguyen, Duc Tien ^g   Lux, Mathias ^h   Schmidt, Peter Thelin ^i,j   Riegler, Michael ^a,b   Halvorsen, Pål ^a,b  

^a SIMULA RESEARCH LABORATORY   (Norway)

^b UNIVERSITY OF OSLO   (Norway)

^c CANCER REGISTRY OF NORWAY   (Norway)

^d VESTRE VIKEN HOSPITAL TRUST   (Norway)

^e UNIVERSITY OF TROMSØ   (Norway)

^f UNIVERSITY OF CATANIA   (Italy)

^g DUBLIN CITY UNIVERSITY   (Ireland)

^h UNIVERSITY OF KLAGENFURT   (Austria)

ⁱ KAROLINSKA INSTITUTE   (Sweden)

^j KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

more..

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; MULTIMEDIA SYSTEMS;

ANATOMICAL LANDMARKS; AUTOMATIC DETECTION; COMPUTER AIDED DETECTION; GASTROINTESTINAL DISEASE; GASTROINTESTINAL TRACT; HEALTH-CARE SYSTEM; MEDICAL PRACTICE; REPRODUCIBILITIES;

MEDICAL IMAGING;

EID: 85025606194     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3083187.3083212     Document Type: Conference Paper

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