Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
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In: Clinical Endoscopy, 56, 1, S. 14-22
- Event
-
Veröffentlichung
- (where)
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Augsburg
- (who)
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Universität Augsburg
- (when)
-
2023
- Event
-
Veröffentlichung
- (who)
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The Korean Society of Gastrointestinal Endoscopy
- (when)
-
2023
- Creator
- DOI
-
10.5946/ce.2022.247
- URN
-
urn:nbn:de:bvb:384-opus4-1031412
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Meinikheim, Michael
- Messmann, Helmut
- Ebigbo, Alanna
- Universität Augsburg
- The Korean Society of Gastrointestinal Endoscopy
Time of origin
- 2023
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Convolutional Neural Networks for the evaluation of cancer in Barrett’s esophagus: Explainable AI to lighten up the black-box
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Multimodal imaging for detection and segmentation of Barrett’s esophagus-related neoplasia using artificial intelligence
Stricture prevention after extensive endoscopic submucosal dissection of neoplastic Barrett’s Esophagus: individualized oral steroid prophylaxis
Convolutional Neural Networks for the evaluation of cancer in Barrett’s esophagus: Explainable AI to lighten up the black-box
Step-up training for colorectal and gastric ESD and the challenge of ESD training in the proximal colon: results from a German Center
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