Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response.
- DOI
- 10.1186/s12938-021-00899-z
- Published
- 2021 Jun 28
- Container
- Biomedical engineering online
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12938-021-00899-z,
title = {Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response.},
author = {Hussain L and Huang P and Nguyen T and Lone KJ and Ali A and Khan MS and Li H and Suh DY and Duong TQ},
year = {2021},
journal = {Biomedical engineering online},
doi = {10.1186/s12938-021-00899-z},
url = {https://doi.org/10.1186/s12938-021-00899-z}
}RIS
TY - JOUR TI - Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response. AU - Hussain L AU - Huang P AU - Nguyen T AU - Lone KJ AU - Ali A AU - Khan MS AU - Li H AU - Suh DY AU - Duong TQ PY - 2021 JO - Biomedical engineering online DO - 10.1186/s12938-021-00899-z UR - https://doi.org/10.1186/s12938-021-00899-z ER -
APA
L, H., P, H., T, N., KJ, L., A, A., MS, K., H, L., DY, S., & TQ, D. (2021). Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response.. Biomedical engineering online. https://doi.org/10.1186/s12938-021-00899-z
Source records
- pubmed · retrieved 2026-09-26T03:54:54.550Z