Shichong Zhou

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The dimensionality reduction is an important step in ultrasound image based computer-aided diagnosis (CAD) for breast cancer. A newly proposed l2,1 regularized correntropy algorithm for robust feature selection (CRFS) has achieved good performance for noise corrupted data. Therefore, it has the potential to reduce the dimensions of ultrasound image(More)
Ultrasound imaging is a valuable tool in the detection of breast lesions, and the breast imaging and reporting data system (BI-RADS) guides the ultrasound diagnosis of breast lesion to improve the diagnosis accuracy. The research of breast ultrasound computer-aided diagnosis (CAD) with BI-RADS-US is a hot topic now. In this paper, we reviewed the research(More)
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