搜索资源列表
LVQ
- LVQ神经网络的分类——乳腺肿瘤诊断,包含源代码和数据-LVQ neural network classification- breast cancer diagnosis, including source code and data
Microwave
- Microwave radar and microwave-induced thermoacoustics, recently proposed as promising breast cancer detection techniques, each have shortcomings that reduce detection performance. Making the assumption that the measureme
facedetection
- Abstract—In this paper, a new lossy technique based on wavelet transform for compression of breast ultrasound images is presented. The experiments are performed on 16 different wavelet functions and the quality of
Automatic-Detection-of-Tumor-Subtype-in
- It describes the breast tumor subtype
soria2008a
- Breast Cancer Data Clustering using various segmentation algorithms.
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
breast-cancer
- some dataset for weka
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
ALU001
- vhdl apple banana breast fire no thanks conditional rotation
1482-3311-1-SM
- Mammography is one of the available techniques for the early detection of masses or abnormalities which is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect t
3285-30367-2-PB
- In most of the approaches of computer-aided detection of breast cancer, one of the preprocessing steps applied to the mammogram is the removal/suppression of pectoral muscle, as its presence within the mammogram may adve
Mam_measurement.m
- 对于乳腺X光片进行图像分割，并计算其中的乳腺体积-For breast X-ray image segmentation, and calculate which of breast volume
breast-cancer_bates-classifer
- 乳腺癌贝叶斯分类器，进行了一维和二维的贝叶斯分类-Bayes classifier
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
4
- 胸部癌变部位，通过光电方法测量的图形分辨方法-breast picture
medical-new
- expert system for breast cancer diagnosis
breast_figure
- breast数据集的极限学习机的分类算法，自己编写的，可以运行-Extreme Learning Machine classification algorithm breast datasets, write your own, you can run
GRNN_PNN
- 将训练集与测试集数据进行归一化； 建立GRNN或PNN神经网络； 利用建立好的神经网络对测试集中的26个乳腺组织样本的类型进行预测； 计算预测正确率（不必计算每类的正确率，只需计算正常或者病变两类的正确率，即只要预测结果与真实值属于同一大类，则认为是正确，否则认为预测错误）-The training set and test data set is normalized Establish GRNN or PNN ne