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Search results for biblio_year:1979
Filters: 1 is biblio_year:2008 and 2 is biblio_year:0 and 3 is field_research_area:6 and 4 is biblio_year:2019 and 5 is biblio_type:Miscellaneous and 6 is biblio_type:Proceedings, non-refereed and 7 is field_research_area:590 and Author is Eskeland, Sigrun Losada [Reset Search]
Filters: 1 is biblio_year:2008 and 2 is biblio_year:0 and 3 is field_research_area:6 and 4 is biblio_year:2019 and 5 is biblio_type:Miscellaneous and 6 is biblio_type:Proceedings, non-refereed and 7 is field_research_area:590 and Author is Eskeland, Sigrun Losada [Reset Search]
Deep Learning for Automatic Generation of Endoscopy Reports." Gastrointestinal Endoscopy 89, no. 6 (2019).
"Kunstig intelligens for endoskopi – Automatisk deteksjon av lesjoner i sanntid. NGF Nytt, Vol. 26, No 1, March 2019, p. 34: Norsk Gastroenterologisk Forening, 2019.
ngf-nytt.pdf (439.45 KB)

A comparison of deep learning with global features for gastrointestinal disease detection In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.
Efficient disease detection in gastrointestinal videos – global features versus neural networks." Multimedia Tools and Applications 76, no. 21 (2017): 22493-22525.
pogorelov_et_al-2017-multimedia_tools_and_applications.pdf (7.69 MB)
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Multimedia for medicine: the medico Task at mediaEval 2017 In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.