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What is CAD for Triple Negative Breast Cancer Detection about?

This study evaluates a computer-aided diagnosis (CAD) system for the segmentation and classification of triple-negative (TN) breast cancers using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The CAD system demonstrated high accuracy in distinguishing benign from malignant lesions (83% accuracy) and TN from non-TN cancers (92% accuracy), utilizing a combination of quantitative morphologic, textural, and kinetic features. The findings suggest that TN breast cancer has distinct signatures on

Author

zhouxinyu20020922

Language

EN