Classification of LVQ Neural Network -- breast cancer diagnosis
2016-08-23
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Breast cancer is a common disease of females, in recent years, the rising incidence of breast cancer, women's health has become a malignant tumor. Breast cancer early detection, early diagnosis, early treatment can achieve good results, so is essential in the diagnosis of benign and malignant tumors of the breast.
Breast tumor by biopsy sampling for analysis, we can determine is benign or malignant. Medical studies found that breast tumor tissue 10 quantitative characteristics of microscopic images of nuclei: nuclei radii, smooth texture, perimeter, area, and degree of tightness, dents, depressions points, fracture degree of symmetry, has a close relationship with the nature of the tumor. Using LVQ neural network according to available experimental data to establish a method for diagnosis of breast tumor is benign or malignant. Using BP neural network classification of results showed that the LVQ neural network results better than BP neural network, which also show th
Breast tumor by biopsy sampling for analysis, we can determine is benign or malignant. Medical studies found that breast tumor tissue 10 quantitative characteristics of microscopic images of nuclei: nuclei radii, smooth texture, perimeter, area, and degree of tightness, dents, depressions points, fracture degree of symmetry, has a close relationship with the nature of the tumor. Using LVQ neural network according to available experimental data to establish a method for diagnosis of breast tumor is benign or malignant. Using BP neural network classification of results showed that the LVQ neural network results better than BP neural network, which also show th
matlab
分类
神经网络
lvq
诊断
乳腺肿瘤
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