Computer-aided detection method for breast carcinoma calcification point based on local binary pattern and support vector machine
A technology of local binary mode and support vector machine, which is applied in computer parts, calculation, character and pattern recognition, etc., can solve the problems of low accuracy, small calcification of breast cancer, time-consuming and labor-intensive, etc., to achieve good results consistent effect
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[0036] The method of the present invention will be further described below in conjunction with the accompanying drawings.
[0037] Such as figure 1 As shown, the computer-aided detection method of breast cancer calcification based on local binary model and support vector machine, its specific implementation steps are as follows:
[0038] Step (1). Read in the normal mammograms and mammograms containing calcifications in the database of the Mammographic Image Analysis Society (MIAS) in the United States, and information such as the position and size of the calcifications provided by the database. The computer software used in this embodiment is Matlab, and the data is read and the following operations are performed by writing a program.
[0039] Step (2). Use a filter bank to perform edge enhancement on the X-ray film read in step (1). The filter bank consists of a Gaussian high-pass filter, a Laplacian sharpening filter, a low-pass filter, and a subtractor. First, the X-ray...
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