December 14, 2024Magnetic Resonance Imaging7 citationsOpen Access

Predicting molecular subtypes of breast cancer based on multi-parametric MRI dataset using deep learning method

WRWanqing RenShandong University of Traditional Chinese Medicine XXXiaoming XiJinan Institute of Quantum Technology XZXiaodong ZhangUniversity of Electronic Science and Technology of China

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Abstract

The multi-parametric MRI model we developed outperformed the base models in predicting breast cancer molecular subtypes. Our study also showed the potential of FS-T1WI base model in predicting breast cancer molecular subtypes.

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Ren et al. (2024) studied this question.

synapsesocial.com/papers/69d94fa29873513554835fbf https://doi.org/10.1016/j.mri.2024.110305

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December 14, 2024Magnetic Resonance Imaging7 citationsOpen Access

Predicting molecular subtypes of breast cancer based on multi-parametric MRI dataset using deep learning method

View Full Paper

WRWanqing RenShandong University of Traditional Chinese Medicine XXXiaoming XiJinan Institute of Quantum Technology XZXiaodong ZhangUniversity of Electronic Science and Technology of China

Key Points

Key points are not available for this paper at this time.

Abstract

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Cite This Study

Ren et al. (2024) studied this question.

synapsesocial.com/papers/69d94fa29873513554835fbf https://doi.org/10.1016/j.mri.2024.110305

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