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C45Rule-PANE
- Descr iption: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagn
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
LVRclass21
- LVQ神经网络 分类 实例 乳腺肿瘤 诊断-LVQ neural network classification of instances of breast cancer diagnosis
bp
- 神经网络分类在医疗领域乳腺肿瘤诊断中的应用-Neural network classifier in the medical field diagnosis of breast cancer
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-ANN-1
- 基于LVQ神经网络的分类的乳腺肿瘤诊断的matlab源程序以及所需数据-LVQ neural network based classification of breast cancer diagnosis matlab source code. . .
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
- LVQ神经网络的分类——乳腺肿瘤诊断，判定良性还是恶性-LVQ neural network classification- diagnosis 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.
svm--matlab
- matlab智能算法30个案例分析源码之--支持向量机的分类--基于乳腺组织电抗阻性的乳腺癌诊断 包括原始数据和SVM分类代码 是学习支持向量机的好的案例-matlab intelligent algorithm analysis of 30 cases source code- support vector machine classification- based on the electrical resistance of breast cancer diagnosis in bre
the-classification
- LVQ神经网络的分类——乳腺肿瘤诊断，可以更好地了解分类的方法-The classification of LVQ neural network- breast cancer diagnosis
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
eg21-zhongliuzhengduan
- 《MATLAB神经网络30个案例分析》中的第21个例子，案例21 LVQ神经网络的分类——乳腺肿瘤诊断。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 21 cases of 21 LVQ neural network classification of breast cancer diagnosis. Hope to have certain help to everybody!
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)