Combined diagnosis of multiparametric MRI-based deep learning models facilitates differentiating triple-negative breast cancer from fibroadenoma magnetic resonance BI-RADS 4 lesions

Author:

Yin Hao-lin,Jiang Yu,Xu Zihan,Jia Hui-hui,Lin Guang-wu

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine Learning for Early Breast Cancer Detection;Journal of Engineering and Science in Medical Diagnostics and Therapy;2024-07-26

2. Application of machine learning in the analysis of multiparametric MRI data for the differentiation of treatment responses in breast cancer: retrospective study;European Journal of Cancer Prevention;2024-06-19

3. A meta-analysis of MRI radiomics-based diagnosis for BI-RADS 4 breast lesions;Journal of Cancer Research and Clinical Oncology;2024-05-15

4. AI in diagnostic imaging: Revolutionising accuracy and efficiency;Computer Methods and Programs in Biomedicine Update;2024

5. Artificial intelligence in breast imaging: potentials and challenges;Physics in Medicine & Biology;2023-11-28

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