Application of Radiomics Analysis Based on CT Combined With Machine Learning in Diagnostic of Pancreatic Neuroendocrine Tumors Patient’s Pathological Grades

PURPOSE: To evaluate the value of multiple machine learning methods in classifying pathological grades (G1,G2, and G3), and to provide the best machine learning method for the identification of pathological grades of pancreatic neuroendocrine tumors (PNETs) based on radiomics. MATERIALS AND METHODS:...

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Detalhes bibliográficos
Publicado no:Front Oncol
Main Authors: Zhang, Tao, Zhang, YueHua, Liu, Xinglong, Xu, Hanyue, Chen, Chaoyue, Zhou, Xuan, Liu, Yichun, Ma, Xuelei
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
Assuntos:
Oncology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7905094/
https://ncbi.nlm.nih.gov/pubmed/33643890
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.521831
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