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

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

PurposeTo 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 MethodsA re...

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Bibliographic Details
Main Authors: Tao Zhang, YueHua Zhang, Xinglong Liu, Hanyue Xu, Chaoyue Chen, Xuan Zhou, Yichun Liu, Xuelei Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
CT
pancreatic neuroendocrine tumors
texture analysis
pathological grading
radiomics
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.521831/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2020.521831/full

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