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Breast microcalcifications detection based on fusing features with DTCWT by Wang, Zhiqiong; Xin, Junchang; Zhang, Qianqian; Gao, Sa; Ma, ChunXiao; Ren, Jie; Zhang, Hao; Qian, Wei; Zhu, Wancheng; Zhang, Xia; Liu, Jiren is a Medicine article available to read on EtoBox.

What is Breast microcalcifications detection based on fusing features with DTCWT about?

BACKGROUND: Breast cancer is a common disease in women. Early detection and early treatment can reduce breast cancer mortality. Studies have shown that breast cancer microcalcifications is one of the important clinical manifestations of early breast cancer, and sometimes even the only manifestation. When the mammography image shows typical malignant microcalcification, it can be diagnosed as breast cancer without any other signs of malignancy. In the aided diagnosis of microcalcifications, it is a crucial step to automatically find and locate regions of interest containing microcalcifications. However, the existing feature extraction method for microcalcifications only extracts features in the time domain or wavelet domain, and does not completely represent all the information of the region of interest. An extraction method based on the combination of Dual-Tree Complex Wavelet Transform (DTCWT) and texture features is proposed in the paper. METHODS: First, the processing operations including denoising, enhancement, and edge detection were performed on mammograms. Sub-image segmentation is then performed. DTCWT features and texture features are extracted for each sub-image.DTCWT fea

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Author

Wang, Zhiqiong; Xin, Junchang; Zhang, Qianqian; Gao, Sa; Ma, ChunXiao; Ren, Jie; Zhang, Hao; Qian, Wei; Zhu, Wancheng; Zhang, Xia; Liu, Jiren

Publisher

IOS Press; Elsevier BV (ISSN 0895-3996)

Published

2020

Language

EN

Field

Medicine (Physical Sciences)