CT-based deep learning enables early postoperative recurrence prediction for intrahepatic cholangiocarcinoma

Preoperatively accurate evaluation of risk for early postoperative recurrence contributes to maximizing the therapeutic success for intrahepatic cholangiocarcinoma (iCCA) patients. This study aimed to investigate the potential of deep learning (DL) algorithms for predicting postoperative early recur...

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Detalles Bibliográficos
Autores principales: Wakiya, Taiichi, Ishido, Keinosuke, Kimura, Norihisa, Nagase, Hayato, Kanda, Taishu, Ichiyama, Sotaro, Soma, Kenji, Matsuzaka, Masashi, Sasaki, Yoshihiro, Kubota, Shunsuke, Fujita, Hiroaki, Sawano, Takeyuki, Umehara, Yutaka, Wakasa, Yusuke, Toyoki, Yoshikazu, Hakamada, Kenichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120508/
https://www.ncbi.nlm.nih.gov/pubmed/35590089
http://dx.doi.org/10.1038/s41598-022-12604-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120508/
https://www.ncbi.nlm.nih.gov/pubmed/35590089
http://dx.doi.org/10.1038/s41598-022-12604-8

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