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SVR
- 本算法是利用matlab及libsvm软件包仿真了利用SVM建立基于乳腺组织电阻抗特性的乳腺癌诊断模型，并对诊断模型的特性进行评价-This algorithm is the use of simulation software package libsvm matlab and the establishment of the use of SVM based on electrical impedance properties of breast tissue model of breast
breast_outline
- 该程序用实现寻找钼靶图像中乳腺轮廓。在医学图像处理当中，找到乳腺轮廓有助于简化后绪处理。-This code is used for finding the boudary of the breast in a mammogram.
Breast
- 乳腺X光片中可疑区域的多分辨率分割的源代码-Breast X-ray film multi-resolution segmentation of suspicious regions
breast-cancer-diagnosis
- Matlab中LVQ神经网络的分类——乳腺肿瘤诊断-LVQ neural network classification- breast cancer diagnosis
LVQ
- LVQ神经网络的分类——乳腺肿瘤诊断-LVQ neural network classification- breast cancer diagnosis
breastedge
- 乳腺图像轮廓提取，配准和分割的预处理工作-breast registration
hagness_IEEETAP_03
- 时域波束形成实现早期乳腺肿瘤检测,采用超宽带一阶高斯波-time beamforming for early breast cancer detection by UWB
chapter28
- 支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断-Support vector machine classification- based on the diagnosis of breast tissue electrical impedance characteristics of breast cancer
LVQ-BP
- matlab的神经网络算法——解决乳腺肿瘤诊断问题，分别采用BP算法解决以及LVQ算法解决，包含样例乳腺肿瘤数据。-matlab neural network algorithm- to solve the problem of diagnosis of breast cancer, respectively, with BP algorithm to solve LVQ algorithm to solve, contains a sample of breast tumor data.
main
- svm分类程序，基于乳腺组织电阻抗特性的乳腺癌诊断-svm classification procedure, based on electrical impedance characteristics of breast tissue for breast cancer diagnosis
svm-Diagnosis-of-breast-cancer
- 支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断-Support vector machine classification- based on electrical impedance characteristics of breast tissue diagnosis of breast cancer
LVQ-neural
- LVQ神经网络的分类——乳腺肿瘤诊断，MATLAB的经典算法-LVQ neural network classification- breast cancer diagnosis, MATLAB classical algorithm
lvq
- LVQ神经网络的分类——乳腺肿瘤诊断,这是神经网络的分类，使用的是MATLAB语言编写的-lvq matlab net which is very useful,you can download it and use it to do what you want.....
The-code-for-LVQ-model
- 采用lvq神经网络模型进行乳腺肿瘤诊断的程序，本人亲自尝试，可以正常使用。对于使用LVQ算法的同学很有帮助！-Lvq using neural network model of breast cancer diagnosis programs, I personally try to be normal. For LVQ algorithm helps the students!
libsvm_1
- 支持向量机的分类-基于乳腺组织电阻抗特性的乳腺癌诊断-Support Vector Machine- Based on the breast tissue impedance characteristics of breast cancer diagnosis
LVQ
- LVQ神经网络的分类，乳腺肿瘤诊断的神经网络实例分析-VQ neural network, the classification of breast tumor diagnosis neural network analysis
chapter26
- 《matlab神经网络43个案例分析》源码26，BP神经网络的分类——乳腺肿瘤诊断 - Matlab neural network 43 Case Studies Source 26, BP neural network classification- breast cancer diagnosis
chapter28
- 支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断-Support Vector Machine- based breast tissue electrical impedance characteristics of breast cancer diagnosis
main
- chapter28支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断(Classification of chapter28 support vector machines - breast cancer diagnosis based on breast tissue impedance)
LVQ神经网络的分类——乳腺肿瘤诊断
- LVQ神经网络的分类——乳腺肿瘤诊断,matlab(Classification of LVQ neural network -- diagnosis of breast tumor)