Breast Cancer Sub-Typing Using Digital Mammograms and Machine Learning: Predicting Invasiveness and Tumor Grade
- DOI
- 10.1109/bibe66822.2025.00086
- Published
- 2025-11-06
- Container
- 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/bibe66822.2025.00086,
title = {Breast Cancer Sub-Typing Using Digital Mammograms and Machine Learning: Predicting Invasiveness and Tumor Grade},
author = {Kosmia Loizidou and Eleni Orphanidou Vlachou and Anneza Yiallourou and Christos Nikolaou and Costas Pitris},
year = {2025},
journal = {2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE)},
doi = {10.1109/bibe66822.2025.00086},
url = {https://doi.org/10.1109/bibe66822.2025.00086}
}RIS
TY - JOUR TI - Breast Cancer Sub-Typing Using Digital Mammograms and Machine Learning: Predicting Invasiveness and Tumor Grade AU - Kosmia Loizidou AU - Eleni Orphanidou Vlachou AU - Anneza Yiallourou AU - Christos Nikolaou AU - Costas Pitris PY - 2025 JO - 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE) DO - 10.1109/bibe66822.2025.00086 UR - https://doi.org/10.1109/bibe66822.2025.00086 ER -
APA
Loizidou, K., Vlachou, E. O., Yiallourou, A., Nikolaou, C., & Pitris, C. (2025). Breast Cancer Sub-Typing Using Digital Mammograms and Machine Learning: Predicting Invasiveness and Tumor Grade. 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE). https://doi.org/10.1109/bibe66822.2025.00086
Source records
- crossref · retrieved 2026-09-25T23:59:49.727Z