Cross-attention multi-branch CNN using DCE-MRI to classify breast cancer molecular subtypes

Cross-attention multi-branch CNN using DCE-MRI to classify breast cancer molecular subtypes

PurposeThe aim of this study is to improve the accuracy of classifying luminal or non-luminal subtypes of breast cancer by using computer algorithms based on DCE-MRI, and to validate the diagnostic efficacy of the model by considering the patient’s age of menarche and nodule size.MethodsDCE-MRI imag...

Full description

Bibliographic Details
Main Authors: Liang Sun, Haowen Tian, Hongwei Ge, Juan Tian, Yuxin Lin, Chang Liang, Tang Liu, Yiping Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Oncology
Subjects:
breast cancer
molecular subtypes
deep learning
attention mechanism
MRI
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1107850/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1107850/full

Similar Items