A newly developed deep learning-based system for automatic detection and classification of small bowel lesions during double-balloon enteroscopy examination

A newly developed deep learning-based system for automatic detection and classification of small bowel lesions during double-balloon enteroscopy examination

Abstract Background Double-balloon enteroscopy (DBE) is a standard method for diagnosing and treating small bowel disease. However, DBE may yield false-negative results due to oversight or inexperience. We aim to develop a computer-aided diagnostic (CAD) system for the automatic detection and classi...

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Bibliographic Details
Main Authors: Yijie Zhu, Xiaoguang Lyu, Xiao Tao, Lianlian Wu, Anning Yin, Fei Liao, Shan Hu, Yang Wang, Mengjiao Zhang, Li Huang, Junxiao Wang, Chenxia Zhang, Dexin Gong, Xiaoda Jiang, Liang Zhao, Honggang Yu
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Gastroenterology
Subjects:
Double-balloon enteroscopy
Artificial intelligence
Small bowel
Online Access:https://doi.org/10.1186/s12876-023-03067-w

Internet

https://doi.org/10.1186/s12876-023-03067-w

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