Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images

Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images

It is still challenging to make accurate diagnosis of biliary atresia (BA) with sonographic gallbladder images particularly in rural areas without relevant expertise. Here, the authors develop a diagnostic deep learning model which favourable performance in comparison with human experts in multi-cen...

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Bibliographic Details
Main Authors: Wenying Zhou, Yang Yang, Cheng Yu, Juxian Liu, Xingxing Duan, Zongjie Weng, Dan Chen, Qianhong Liang, Qin Fang, Jiaojiao Zhou, Hao Ju, Zhenhua Luo, Weihao Guo, Xiaoyan Ma, Xiaoyan Xie, Ruixuan Wang, Luyao Zhou
Format: article
Language:EN
Published: Nature Portfolio 2021
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Science
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Online Access:https://doaj.org/article/97020172e8224071a01e636307ff2f72
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https://doaj.org/article/97020172e8224071a01e636307ff2f72

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