Search Tag: deep learning healthcare

2025 01 Jul

  Breast cancer, the most prevalent malignancy in women worldwide, is categorised into four molecular subtypes based on receptor expression: luminal A, luminal B, HER2-enriched and triple-negative breast cancer (TNBC). These classifications guide therapeutic decisions and impact prognosis. Conventional methods of determining subtypes rely on biopsy-based...Read more

2025 01 Jul

  Breast cancer, the most prevalent malignancy in women worldwide, is categorised into four molecular subtypes based on receptor expression: luminal A, luminal B, HER2-enriched and triple-negative breast cancer (TNBC). These classifications guide therapeutic decisions and impact prognosis. Conventional methods of determining subtypes rely on biopsy-based...Read more

2025 25 May

  Breast cancer continues to be one of the most prevalent and deadly diseases affecting women globally. Early detection remains crucial, and mammography has long been the cornerstone of breast cancer screening programmes. However, mammographic interpretation is susceptible to high false-positive and false-negative rates, particularly in women with...Read more

2025 25 May

  Breast cancer continues to be one of the most prevalent and deadly diseases affecting women globally. Early detection remains crucial, and mammography has long been the cornerstone of breast cancer screening programmes. However, mammographic interpretation is susceptible to high false-positive and false-negative rates, particularly in women with...Read more

2025 25 May

  Breast cancer continues to be one of the most prevalent and deadly diseases affecting women globally. Early detection remains crucial, and mammography has long been the cornerstone of breast cancer screening programmes. However, mammographic interpretation is susceptible to high false-positive and false-negative rates, particularly in women with...Read more