Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features.
- DOI
- 10.1007/s10549-024-07429-0
- Published
- 2025 Jun
- Container
- Breast cancer research and treatment
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10549-024-07429-0,
title = {Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features.},
author = {Buzatto IPC and Recife SA and Miguel L and Bonini RM and Onari N and Faim ALPA and Silvestre L and Carlotti DP and Fröhlich A and Tiezzi DG},
year = {2025},
journal = {Breast cancer research and treatment},
doi = {10.1007/s10549-024-07429-0},
url = {https://doi.org/10.1007/s10549-024-07429-0}
}RIS
TY - JOUR TI - Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features. AU - Buzatto IPC AU - Recife SA AU - Miguel L AU - Bonini RM AU - Onari N AU - Faim ALPA AU - Silvestre L AU - Carlotti DP AU - Fröhlich A AU - Tiezzi DG PY - 2025 JO - Breast cancer research and treatment DO - 10.1007/s10549-024-07429-0 UR - https://doi.org/10.1007/s10549-024-07429-0 ER -
APA
IPC, B., SA, R., L, M., RM, B., N, O., ALPA, F., L, S., DP, C., A, F., & DG, T. (2025). Machine learning can reliably predict malignancy of breast lesions based on clinical and ultrasonographic features.. Breast cancer research and treatment. https://doi.org/10.1007/s10549-024-07429-0
Source records
- pubmed · retrieved 2026-09-26T16:13:59.983Z