Breast Cancer Diagnosis Using Machine Learning Techniques

doi:doi:10.57702/4spvurdd

Breast Cancer Diagnosis Using Machine Learning Techniques

Breast cancer is one of the most threatening diseases in women’s life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient’s life. Mam-mography stands as the reference technique for breast cancer screening; nevertheless, many countries still lack access to mammograms due to economic, social, and cultural issues.

BibTex:

@dataset{Juan_Pablo_Zuluaga_Gomez_and_Noureddine_Zerhouni_and_Zeina_Al_Masry_and_Christophe_Varnier_and_Pascal_Vairac_2024,
    abstract = {Breast cancer is one of the most threatening diseases in women’s life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient’s life. Mam-mography stands as the reference technique for breast cancer screening; nevertheless, many countries still lack access to mammograms due to economic, social, and cultural issues.},
    author = {Juan Pablo Zuluaga Gomez and Noureddine Zerhouni and Zeina Al Masry and Christophe Varnier and Pascal Vairac},
    doi = {10.57702/4spvurdd},
    institution = {No Organization},
    keyword = {'blood biomarkers', 'breast cancer', 'electrical impedance tomography', 'machine learning', 'thermography'},
    month = {dec},
    publisher = {TIB},
    title = {Breast Cancer Diagnosis Using Machine Learning Techniques},
    url = {https://service.tib.eu/ldmservice/dataset/breast-cancer-diagnosis-using-machine-learning-techniques},
    year = {2024}
}