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rbfperson
- 利用rbf神经网络对人体组织药业灌注这个系统的一个学习，可以到达模拟预测效果-rbf use neural networks to human tissue perfusion of the medicine of a learning system, can be reached simulation results
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
MC_v1.2
- 运用蒙特卡罗模拟光与生物组织的相互作用情况-Use of Monte Carlo simulation of light with biological tissue interactions
mrifid
- Its a matlab code to calulate and display the FID signal decay. with vaious output files includes. another file is added with the name mir to calculate and plot the T1 AND T2 decay curves for the given values of the tissue samples.-Its a matlab c
mcml-src
- 美国汪利宏的蒙特卡洛及卷积模拟程序，可以模拟top-hat光束和高斯光束在生物组织中的传输-U.S. WANG Li-hong of the Monte Carlo and convolution simulation program can simulate the top-hat beam and Gaussian beam transport in tissue
BreastPhantom
- it automatically generate a simulated 3D breast phantom. Generate lesions, ducts, fibroglandular tissue and fatty tissue. It could be used for all kinds of breast phantom based image analysis. e.g projection image, CT reconstruction etc.
MC
- 美国lihong wang教授编写的程序，用于生物组织内光分布模拟的Mento Carlo算法-Professor of American lihong wang programs written for the simulation of light distribution within the biological tissue' s Mento Carlo algorithm
sevaluate
- gets label matrix of a tissue in segmented and ground truth and returns similarity indices-gets label matrix of a tissue in segmented and ground truth and returns similarity indices
ip
- 激光诱导间质热疗中生物组织吸收系数变化特性研究.-Laser-induced interstitial thermotherapy in the biological characteristics of tissue absorption coefficient.
Evaluation-of-Two-Segmentation-Methods
- Evaluation of Two Segmentation Methods on MRI Brain Tissue Structures
s43
- 人体小肠经及周边非经络组织的光传输特性研究.-Human small intestine and peripheral non meridian tissue optical transmission characteristics of.
fmri_design_matrix
- The code simulates a map of orientation columns in primary visual cortex, divides this simulated cortex into voxel-like chunks, and counts up how much tissue there is in each voxel which is tuned to particular orientations. It then shows how this coa
design_FMRI
- The code simulates a map of orientation columns in primary visual cortex, divides this simulated cortex into voxel-like chunks, and counts up how much tissue there is in each voxel which is tuned to particular orientations.How this coarse-grained mea
cortex_to_vortex
- The code simulates a map of orientation columns in primary visual cortex, divides this simulated cortex into voxel-like chunks, and counts up how much tissue there is in each voxel which is tuned to particular orientations.How this coarse-grained mea
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
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
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
Fftfile-of-EEG
- 可以用FFT频谱对脑电信号进行提取。我们可以利用提取出的各个波段脑电信号，来诊断一些脑部疾病或者对大脑组织的电活动及大脑的功能状态进行分析。 1.将实验测得的脑电数据文件转换为文本文件(已经过50Hz陷波)， 获得在Matlab 平台上可直接使用的脑电信号数据，即0661.txt。 2.在Matlab中导入数据，并提取Fp1通道的脑电信号，通过FFT变换对α，β，θ，δ波段进行提取，并做FFT逆变换变到时域。 3.计算各个波段的功率谱。-FFT spectrum can be ext
sample4
- 工神经网络（Artificial Neural Network）又称连接机模型，是在现代神经学、生物学、心理学等学科研究的基础上产生的，它反映了生物神经系统处理外界事物的基本过程，是在模拟人脑神经组织的基础上发展起来的计算系统，是由大量处理单元通过广泛互联而构成的网络体系，它具有生物神经系统的基本特征，在一定程度上反映了人脑功能的若干反映，是对生物系统的某种模拟，具有大规模并行、分布式处理、自组织、自学习等优点，被广泛应用于语音分析、图像识别、数字水印、计算机视觉等很多领域，取得了许多突出的成果