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A deep learning framework for autonomous detection and classification of Crohn's disease lesions in the small bowel and colon with capsule endoscopy.

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Title: A deep learning framework for autonomous detection and classification of Crohn's disease lesions in the small bowel and colon with capsule endoscopy.
Authors: Majtner T; Applied Artificial Intelligence and Data Science, Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark., Brodersen JB; Department of Internal Medicine, Section of Gastroenterology, Hospital of South West Jutland, Esbjerg, Denmark., Herp J; Applied Artificial Intelligence and Data Science, Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark., Kjeldsen J; Department of Medical Gastroenterology, Odense University Hospital, Odense, Denmark., Halling ML; Department of Internal Medicine, Section of Gastroenterology, Hospital of South West Jutland, Esbjerg, Denmark., Jensen MD; Department of Internal Medicine, Section of Gastroenterology, Lillebaelt Hospital, Vejle, Denmark.
Source: Endoscopy international open [Endosc Int Open] 2021 Aug 16; Vol. 9 (9), pp. E1361-E1370. Date of Electronic Publication: 2021 Aug 16 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Georg Thieme Verlag KG Country of Publication: Germany NLM ID: 101639919 Publication Model: eCollection Cited Medium: Print ISSN: 2364-3722 (Print) Linking ISSN: 21969736 NLM ISO Abbreviation: Endosc Int Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: A deep learning framework for autonomous detection and classification of Crohn's disease lesions in the small bowel and colon with capsule endoscopy.
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  Data: <searchLink fieldCode="JN" term="%22101639919%22">Endoscopy international open</searchLink> [Endosc Int Open] 2021 Aug 16; Vol. 9 (9), pp. E1361-E1370. <i>Date of Electronic Publication: </i>2021 Aug 16 (<i>Print Publication: </i>2021).
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