Multiparametric MRI Radiomics With Machine Learning for Differentiating HER2-Zero, -Low, and -Positive Breast Cancer: Model Development, Testing, and Interpretability Analysis
Year: 2024
Type: article
Abstract: BACKGROUND. MRI radiomics has been explored for three-tiered classification of HER2 expression levels (i.e., HER2-zero, HER2-low, or HER2-positive) in patients with breast cancer, although an understanding of how such models reach their predictions is lacking.
DOI: 10.2214/ajr.24.31717
Authors: Yongxin Chen, Siyi Chen, Wenjie Tang, Qingcong Kong, Zhidan Zhong, Xiaomeng Yu, Yi Sui, Wenke Hu, Xinqing Jiang, Yuan Guo
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4403446285