Breast cancer masquerading as siliconoma: a cautionary tale. [PDF]
Chua HW, Lim NRT, Wong AWJ.
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Improving Benign and Malignant Classifications in Mammography with ROI-Stratified Deep Learning. [PDF]
Yoshitsugu K, Kishimoto K, Takemura T.
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Background Parenchymal Enhancement on Contrast-Enhanced Mammography: Determinants, Technical Considerations, and Emerging Role as a Breast Cancer Risk Biomarker. [PDF]
Ferre R, Kuzmiak CM.
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Artificial intelligence for triple-negative breast cancer from imaging to multi-omics. [PDF]
Peng X +8 more
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Non-Invasive Breast Cancer Receptor Typing from Mammograms Using Artificial Intelligence: A Systematic Review and Meta-Analysis. [PDF]
Hosseinzadeh N +3 more
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Development and evaluation of AI-based clinical decision support system for streamlining breast multidisciplinary team meetings. [PDF]
Jeffery H +18 more
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Deep learning in multi-modal breast cancer data fusion: a literature review. [PDF]
Li T +8 more
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The value of contrast-enhanced energy-spectrum mammography combined with clinical indicators in detecting breast cancer in Breast Imaging Reporting and Data System (BI-RADS) 4 lesions. [PDF]
Zhou Y, Li Y, Liu Y, Zhou M, Liu B.
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Artificial Intelligence for Breast Cancer Molecular Subtype Prediction From Medical Imaging: A Systematic Review of Literature. [PDF]
Morales-Duran JC +2 more
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