Development and evaluation of an artificial intelligence system for children intussusception diagnosis using ultrasound images

Development and evaluation of an artificial intelligence system for children intussusception diagnosis using ultrasound images

Summary: Accurate identification of intussusception in children is critical for timely non-surgical management. We propose an end-to-end artificial intelligence algorithm, the Children Intussusception Diagnosis Network (CIDNet) system, that utilizes ultrasound images to rapidly diagnose intussuscept...

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Bibliographic Details
Main Authors: Xiong Chen, Guochang You, Qinchang Chen, Xiangxiang Zhang, Na Wang, Xuehua He, Liling Zhu, Zhouzhou Li, Chen Liu, Shixiang Yao, Junshuang Ge, Wenjing Gao, Hongkui Yu
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:iScience
Subjects:
Computer-aided diagnosis method
Medical imaging
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004223005333

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http://www.sciencedirect.com/science/article/pii/S2589004223005333

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