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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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Bibliografiske detaljer
Udgivet i:Front Oncol
Main Authors: Zhang, Tao, Zhang, YueHua, Liu, Xinglong, Xu, Hanyue, Chen, Chaoyue, Zhou, Xuan, Liu, Yichun, Ma, Xuelei
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2021
Fag:
Online adgang: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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