Predicting the Initial Treatment Response to Transarterial Chemoembolization in Intermediate-Stage Hepatocellular Carcinoma by the Integration of Radiomics and Deep Learning

OBJECTIVES: We aimed to develop radiology-based models for the preoperative prediction of the initial treatment response to transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC) since the integration of radiomics and deep learning (DL) has not been reported for TACE....

Descripción completa

Detalles Bibliográficos
Autores principales: Peng, Jie, Huang, Jinhua, Huang, Guijia, Zhang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566880/
https://www.ncbi.nlm.nih.gov/pubmed/34745952
http://dx.doi.org/10.3389/fonc.2021.730282

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566880/
https://www.ncbi.nlm.nih.gov/pubmed/34745952
http://dx.doi.org/10.3389/fonc.2021.730282

Ejemplares similares