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. |
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| 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 |
| ISSN: | 2364-3722 |
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| DOI: | 10.1055/a-1507-4980 |
