Abstract
Presently, detection technology of breast tumors is mostly influenced by external interference factors, leading to poor detection efficiency. To improve the detection efficiency of breast tumors and reduce the cost of breast tumor detection, the study was designed to analyze the characteristics of breast tumors and improved the traditional ultra-wideband microwave technology to construct a two-dimensional and three-dimensional detection model of breast tumors. In addition, the study used dimensional transformation to optimize the two-dimensional texture feature extraction method and employed three-dimensional texture feature extraction method to study the image. Finally, this paper verifies the validity of the feature model proposed by this study through comparison experiments and collects 2D and 3D detection effects images separately.
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