Development and Validation of a Deep Learning System to Differentiate <scp>HER2</scp>‐Zero, <scp>HER2</scp>‐Low, and <scp>HER2</scp>‐Positive Breast Cancer Based on Dynamic Contrast‐Enhanced <scp>MRI</scp>
Authors
Ziyin Li (ORCID: https://orcid.org/0000-0002-3960-9716)
Yi Dai (ORCID: https://orcid.org/0000-0002-1919-1885)
Chun Lian
Ning Mao (ORCID: https://orcid.org/0000-0001-7097-5530)
Fan Lin (ORCID: https://orcid.org/0000-0003-3810-6794)
Development and Validation of a Deep Learning System to Differentiate HER2‐Zero, HER2‐Low, and HER2‐Positive Breast Cancer Based on Dynamic Contrast‐Enhanced MRI
Ziyin Li, Yi Dai, Chun Lian, Ning Mao et al.
Citations
8 citations
Journal
Journal of Magnetic Resonance Imaging
Topics
Radiomics and Machine Learning in Medical Imaging
Field-Weighted Citation Impact (FWCI)
3.23
article
Development and Validation of a Deep Learning System to Differentiate HER2‐Zero, HER2‐Low, and HER2‐Positive Breast Cancer Based on Dynamic Contrast‐Enhanced MRI
Ziyin Li, Yi Dai, Chun Lian, Ning Mao, Fan Lin, Tongpeng Chu, Meiying Chen, Haicheng Zhang, Guanxun Cheng, Zhuo Zhang, Ximing Wang, Rong Huang, Jianjun Dong, Dilinuer Aishanjiang, Jing Gao, Qi Wang
article en
8 citations
Abstract
No abstract available for this paper.
Publication Tag
Journal of Magnetic Resonance ImagingVol. 61(5)
Institutions
Qingdao University (CN), Yuhuangding Hospital (CN), Shandong Provincial Hospital (CN), Peking University Shenzhen Hospital (CN), Shandong Institute of Business and Technology (CN)
Funders
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Guangdong Medical Research Foundation, Beijing Postdoctoral Science Foundation, Natural Science Foundation of Shandong Province, Taishan Scholar Foundation of Shandong Province