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>

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Publication Details

Journal
Journal of Magnetic Resonance Imaging
Published
2024-12-06
DOI
https://doi.org/10.1002/jmri.29670
Citations
8
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
3.23

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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 et al.
8 citations
Journal of Magnetic Resonance Imaging
Radiomics and Machine Learning in Medical Imaging
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.
Journal of Magnetic Resonance ImagingVol. 61(5)
Qingdao University (CN), Yuhuangding Hospital (CN), Shandong Provincial Hospital (CN), Peking University Shenzhen Hospital (CN), Shandong Institute of Business and Technology (CN)
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
Good health and well-being
Openalex Percentile: Top 7%
Radiomics and Machine Learning in Medical Imaging
3.23
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