A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI.

Zhou XX, Zhang L, Cui QX, Li H, Sang XQ, Zhang HX, Zhu YM, Kuai ZX

Open source

DOI
10.1002/jmri.28895
Published
2024 Apr
Container
Journal of magnetic resonance imaging : JMRI
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1002/jmri.28895,
  title = {A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI.},
  author = {Zhou XX and Zhang L and Cui QX and Li H and Sang XQ and Zhang HX and Zhu YM and Kuai ZX},
  year = {2024},
  journal = {Journal of magnetic resonance imaging : JMRI},
  doi = {10.1002/jmri.28895},
  url = {https://doi.org/10.1002/jmri.28895}
}

RIS

TY  - JOUR
TI  - A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI.
AU  - Zhou XX
AU  - Zhang L
AU  - Cui QX
AU  - Li H
AU  - Sang XQ
AU  - Zhang HX
AU  - Zhu YM
AU  - Kuai ZX
PY  - 2024
JO  - Journal of magnetic resonance imaging : JMRI
DO  - 10.1002/jmri.28895
UR  - https://doi.org/10.1002/jmri.28895
ER  - 

APA

XX, Z., L, Z., QX, C., H, L., XQ, S., HX, Z., YM, Z., & ZX, K. (2024). A Channel-Dimensional Feature-Reconstructed Deep Learning Model for Predicting Breast Cancer Molecular Subtypes on Overall b-Value Diffusion-Weighted MRI.. Journal of magnetic resonance imaging : JMRI. https://doi.org/10.1002/jmri.28895

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