Invasive lobular carcinoma (ILC) is the second most common histologic subtype of breast cancer, accounting for 5% to 15% of all cases. Unlike invasive ductal carcinoma (IDC), ILC has an inf
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The integration of artificial intelligence into mammography screening has the potential to revolutionise breast cancer detection by improving efficiency and diagnostic accuracy. The Mammogr
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Breast cancer screening is a crucial tool in early detection, enabling timely intervention and improving survival rates. While women at high risk due to genetic mutations or previous chest
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Digital breast tomosynthesis (DBT) has demonstrated improved breast cancer detection rates compared to traditional digital mammography (DM). However, cancers can still go undetected during
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Cardiovascular disease (CVD) and cancer remain leading causes of death. New research from The University of Texas MD Anderson Cancer Center reveals that patients with late-stage or metastat
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Triple-negative breast cancer (TNBC) remains one of the most challenging forms of breast cancer to treat effectively. Representing approximately 10-15% of all breast cancer cases, TNBC is c
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Breast cancer is among the most prevalent and fatal diseases affecting women worldwide. Early detection is critical in improving survival rates, as timely diagnosis enables effective treatm
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Breast cancer remains a critical health concern globally, with early detection essential to improving treatment outcomes and increasing survival rates. In recent years, machine learning (ML
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Breast cancer remains a significant threat, particularly among high-risk women who benefit from supplemental screening methods such as magnetic resonance imaging (MRI). However, even with a
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Breast cancer remains the most prevalent malignancy among women and the second leading cause of cancer-related mortality. Timely and accurate diagnosis is paramount for improving outcomes.
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