Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images

Identifying factors that may influence the classification performance of radiomics models using contrast-enhanced mammography (CEM) images

Abstract Background Radiomics plays an important role in the field of oncology. Few studies have focused on the identification of factors that may influence the classification performance of radiomics models. The goal of this study was to use contrast-enhanced mammography (CEM) images to identify fa...

Full description

Bibliographic Details
Main Authors: Yuqi Sun, Simin Wang, Ziang Liu, Chao You, Ruimin Li, Ning Mao, Shaofeng Duan, Henry S. Lynn, Yajia Gu
Format: Article
Language:English
Published: BMC 2022-05-01
Series:Cancer Imaging
Subjects:
Mammography
Breast Cancer
Radiomics
Artifact
Online Access:https://doi.org/10.1186/s40644-022-00460-8

Internet

https://doi.org/10.1186/s40644-022-00460-8

Similar Items