Latent Risk Intrahepatic Cholangiocarcinoma Susceptible to Adjuvant Treatment After Resection: A Clinical Deep Learning Approach

Background: Artificial Intelligence (AI) frameworks have emerged as a novel approach in medicine. However, information regarding its applicability and effectiveness in a clinical prognostic factor setting remains unclear. Methods: The AI framework was derived from a pooled dataset of intrahepatic ch...

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Detalles Bibliográficos
Autores principales: Jeong, Seogsong, Ge, Yang, Chen, Jing, Gao, Qiang, Luo, Guijuan, Zheng, Bo, Sha, Meng, Shen, Feng, Cheng, Qingbao, Sui, Chengjun, Liu, Jingfeng, Wang, Hongyang, Xia, Qiang, Chen, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042372/
https://www.ncbi.nlm.nih.gov/pubmed/32140448
http://dx.doi.org/10.3389/fonc.2020.00143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7042372/
https://www.ncbi.nlm.nih.gov/pubmed/32140448
http://dx.doi.org/10.3389/fonc.2020.00143

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