Radiomics Combined with Multiple Machine Learning Algorithms in Differentiating Pancreatic Ductal Adenocarcinoma from Pancreatic Neuroendocrine Tumor: More Hands Produce a Stronger Flame

Radiomics Combined with Multiple Machine Learning Algorithms in Differentiating Pancreatic Ductal Adenocarcinoma from Pancreatic Neuroendocrine Tumor: More Hands Produce a Stronger Flame

The aim of this study was to assess the diagnostic ability of radiomics combined with multiple machine learning algorithms to differentiate pancreatic ductal adenocarcinoma (PDAC) from pancreatic neuroendocrine tumor (pNET). This retrospective study included a total of 238 patients diagnosed with PD...

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Bibliographic Details
Main Authors: Tao Zhang, Yu Xiang, Hang Wang, Hong Yun, Yichun Liu, Xing Wang, Hao Zhang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Journal of Clinical Medicine
Subjects:
radiomics
machine learning
artificial intelligence
pancreatic ductal adenocarcinoma
pancreatic neuroendocrine tumor
diagnostic model
Online Access:https://www.mdpi.com/2077-0383/11/22/6789

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