搜索资源列表
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
multisensor-image-data-fusion-based-on-pixel-leve
- medical image fusion in breast cancer.
A-constrained-Modulus-Reconstruction-Technique-fo
- medical image fusion in breast cancer.
initially-study-of-an-asymetric-pet-system-dedica
- Medical Image Fusion in Breast Cancer.
Final_Report
- document for breast cancer detection
09_Yogaraj
- Breast cancer classification using HOS
BBioinfYeastzr
- 乳腺癌分类程序，带有有部分的原始数据，非常好 -Breast cancer classification procedures, raw data, with some very good
GBayesian_Claa
- 使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶叶斯模式识别。识别率为95以上，可以作为模式识别的重要案例。 -Gaussian model the long-term breast cancer data of the University of Wisconsin School of Medicine the Bayeux Yates pattern recognition. Recognition rate of 95 or more can be used as the p
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
EJSR_72_3_04
- Breast cancer is the second most common cause of cancer death in women. Early detection is the only way to reduce the mortality. Mammography is the best available technique used for earlier detection. But due to manual reading the performance of
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
CODE1
- Histology images reveal grade-differentiating parameters for breast cancer
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
LVQ-neural--network-classification
- 本程序用于LVQ神经网络的分类——乳腺肿瘤诊断-This procedure for LVQ neural network classification- breast cancer diagnosis
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-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
LVQnn01
- LVQ神经网络的分类——乳腺肿瘤诊断,很有效果-LVQ neural network classification- breast cancer diagnosis