搜索资源列表
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.
Code
- the file is to detect the breast region of interest in matlab
Final_Report
- document for breast cancer detection
09_Yogaraj
- Breast cancer classification using HOS
microarray
- 本包中包含大量数据集，有基因微阵列数据，以及一些小样本数据。-include many dataset,such as colondata,breast and lund.
A_stationary_DBT_system
- 静态数字乳腺层析成像系统设计论文，国外高质量论文-stationary digital breast tomosynthesis system
pingjia
- 乳腺X线图像增强质量评价的ＭＡＴＬＡＢ程序，这里使用对比度和ＤＳＭ两种评价方法对乳腺Ｘ线图像增强方法的优劣做一个客观的评价。-Breast X-ray image enhancement the quality assessment of the MATLAB program, where the use of contrast and DSM two evaluation methods to make an objective assessment of the pros and cons
tophat
- X线乳腺肿块检测,能够检测出来肿瘤区域，很好很强大-scan of breast
findseed
- 自己编写的函数，自动寻找乳腺肿块区域的种子点，为种子区域生长做准备，算法比较复杂-breast boundary.seed region growth
breast-cancer
- 用ISOMAP算法对癌症数据进行降维处理，然后再对降维后的数据进行可视化分析-ISOMAP algorithm to reduce the dimensionality of cancer data processing, data dimensionality reduction and then to visualization analysis
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
fengxiong
- 非常漂亮的丰胸单页网站源码,适合初学者做网站-Very nice breast single-page website source code
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