Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRI.
- DOI
- 10.1148/rycan.240312
- Published
- 2025 Jul
- Container
- Radiology. Imaging cancer
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1148/rycan.240312,
title = {Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRI.},
author = {Gilad M and Partridge SC and Iima M and Md RR and Freiman M},
year = {2025},
journal = {Radiology. Imaging cancer},
doi = {10.1148/rycan.240312},
url = {https://doi.org/10.1148/rycan.240312}
}RIS
TY - JOUR TI - Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRI. AU - Gilad M AU - Partridge SC AU - Iima M AU - Md RR AU - Freiman M PY - 2025 JO - Radiology. Imaging cancer DO - 10.1148/rycan.240312 UR - https://doi.org/10.1148/rycan.240312 ER -
APA
M, G., SC, P., M, I., RR, M., & M, F. (2025). Radiomics-based Machine Learning Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Using Physiologically Decomposed Diffusion-weighted MRI.. Radiology. Imaging cancer. https://doi.org/10.1148/rycan.240312
Source records
- pubmed · retrieved 2026-09-25T02:53:20.771Z
- europe-pmc · retrieved 2026-09-25T02:53:20.808Z