Improving the Prediction of Benign or Malignant Breast Masses Using a Combination of Image Biomarkers and Clinical Parameters

Improving the Prediction of Benign or Malignant Breast Masses Using a Combination of Image Biomarkers and Clinical Parameters

Background: Breast cancer is one of the leading causes of death in female cancer patients. The disease can be detected early using Mammography, an effective X-ray imaging technology. The most important step in mammography is the classification of mammogram patches as benign or malignant. Classically...

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Bibliographic Details
Main Authors: Yanhua Cui, Yun Li, Dong Xing, Tong Bai, Jiwen Dong, Jian Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Oncology
Subjects:
mammography
image feature
deep learning
clinical prediction
radiomics
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.629321/full

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