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A knowledge-driven feature learning and integration method for breast cancer diagnosis on multi-sequence MRI

  • Published:2020-06 Issue: Volume:69 Page:40-48
  • ISSN:0730-725X
  • Container-title:Magnetic Resonance Imaging
  • language:en
  • Short-container-title:Magnetic Resonance Imaging

Author:

Feng Hongwei,Cao Jiaqi,Wang Hongyu,Xie Yilin,Yang Di,Feng Jun,Chen Baoying

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Cited by 28 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. Research on Breast Lesion Localization and Diagnosis Based on Knowledge-Driven and Data-Driven Approach;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

2. Medical-informed machine learning: integrating prior knowledge into medical decision systems;BMC Medical Informatics and Decision Making;2024-06-28

3. Synthesis-based imaging-differentiation representation learning for multi-sequence 3D/4D MRI;Medical Image Analysis;2024-02

4. Update on DWI for Breast Cancer Diagnosis and Treatment Monitoring;American Journal of Roentgenology;2024-01-03

5. Machine learning and deep learning techniques for breast cancer detection using ultrasound imaging;Computational Intelligence and Modelling Techniques for Disease Detection in Mammogram Images;2024
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