Radiomics based on 18F‐FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine‐learning approach: A preliminary study

Radiomics based on 18F‐FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine‐learning approach: A preliminary study

Abstract Purpose Our study assessed the ability 18F‐fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomics to differentiate breast carcinoma from breast lymphoma using machine‐learning approach. Methods Sixty‐five breast nodules from 44 patients diagnosed as b...

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Bibliographic Details
Main Authors: Xuejin Ou, Jing Zhang, Jian Wang, Fuwen Pang, Yongsheng Wang, Xiawei Wei, Xuelei Ma
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Cancer Medicine
Subjects:
breast lymphoma
diagnosis
linear discriminant analysis
machine‐learning
radiomic
Online Access:https://doi.org/10.1002/cam4.2711

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