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 area without relevant expertise. To help diagnose BA based on sonographic gallbladder images, an ensembled deep learning model is developed. The model yields a patient...

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Detalles Bibliográficos
Autores principales: Zhou, Wenying, Yang, Yang, Yu, Cheng, Liu, Juxian, Duan, Xingxing, Weng, Zongjie, Chen, Dan, Liang, Qianhong, Fang, Qin, Zhou, Jiaojiao, Ju, Hao, Luo, Zhenhua, Guo, Weihao, Ma, Xiaoyan, Xie, Xiaoyan, Wang, Ruixuan, Zhou, Luyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904842/
https://www.ncbi.nlm.nih.gov/pubmed/33627641
http://dx.doi.org/10.1038/s41467-021-21466-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904842/
https://www.ncbi.nlm.nih.gov/pubmed/33627641
http://dx.doi.org/10.1038/s41467-021-21466-z

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