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

Yijie ZhuXiaoguang LyuXiao TaoLianlian WuAnning YinFei LiaoShan HuYang WangMengjiao ZhangLi HuangJunxiao WangChenxia ZhangDexin GongXiaoda JiangLiang ZhaoHonggang Yu

Published in: BMC gastroenterology (2024)

We established a real-time CAD system for detecting and classifying small bowel lesions in DBE with favourable performance. ENDOANGEL-DBE has the potential to help endoscopists, especially novices, in clinical practice and may reduce the miss rate of small bowel lesions.

Keyphrases

small bowel
deep learning
machine learning
clinical practice
artificial intelligence
coronary artery disease
convolutional neural network
risk assessment
human health