Application of CT-Based Radiomics in Discriminating Pancreatic Cystadenomas From Pancreatic Neuroendocrine Tumors Using Machine Learning Methods

OBJECTIVES: The purpose of this study aimed at investigating the reliability of radiomics features extracted from contrast-enhanced CT in differentiating pancreatic cystadenomas from pancreatic neuroendocrine tumors (PNETs) using machine-learning methods. METHODS: In this study, a total number of 12...

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Detalles Bibliográficos
Autores principales: Han, Xuejiao, Yang, Jing, Luo, Jingwen, Chen, Pengan, Zhang, Zilong, Alu, Aqu, Xiao, Yinan, Ma, Xuelei
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/PMC8339967/
https://www.ncbi.nlm.nih.gov/pubmed/34367940
http://dx.doi.org/10.3389/fonc.2021.606677

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339967/
https://www.ncbi.nlm.nih.gov/pubmed/34367940
http://dx.doi.org/10.3389/fonc.2021.606677

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