A deep learning framework for autonomous detection and classification of Crohnʼs disease lesions in the small bowel and colon with capsule endoscopy
Background and study aims Small bowel ulcerations are efficiently detected with deep learning techniques, whereas the ability to diagnose Crohnʼs disease (CD) in the colon with it is unknown. This study examined the ability of a deep learning framework to detect CD lesions with pan-enteric capsule e...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Georg Thieme Verlag KG
2021-08-01
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| Series: | Endoscopy International Open |
| Online Access: | http://www.thieme-connect.de/DOI/DOI?10.1055/a-1507-4980 |