搜索资源列表
LGIF
- 这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”（简称LGIF模型）的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。-This is the "Active contours driven by local and global inten
LCV 局部区域活动轮廓模型
- 这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLA
bsb
- Hugh Pasika在1997年基于matlab平台开发的BSB网络函数 反馈型神经网络：盒中脑（BSB）模型的matlab实现-Hugh Pasika in 1997 to develop a platform based on the matlab function BSB network feedback-based neural network: the brain box (BSB) model to achieve matlab
ART1
- 人工智能自适应共振理论的运用，脑模型的稳定性，可塑性示范-The use of adaptive resonance theory artificial intelligence, brain model of stability, plasticity model
Segmentation
- It is a matlab code for detecting brain tumor in MR images using CIELAB color space model segmentation.
PCA_classifier
- A basic PCA classifier is provided here for a two class classification problem. An example is given, with some multimodal MRI scans from Multiple Sclerosis patients, in which the brain lesions of two patients are annotated and in the third are dete
691609664cmac
- 小脑神经关节控制模型，示例程序，小脑神经关节控制模型-Joint control of small brain model, sample program, the joint control of small model of brain
LBF
- 这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。-This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF mod
skull.raw
- 三维重建中的骨头模型，文件格式为RAW，-Three-dimensional reconstruction of the brain model, RAW file format
NN_code
- 為了在語音及影像辨認獲至與人腦相似的功能，自1940年起，科學家即著手從事此方面的研究，仿造最簡單的神經元模式，開始建立最原始的類神經網路(Artificial Neural Network ANN)，歷經40年的發展，類神經的研究工作雖曾一度陷入低潮，近幾年又再度復甦，並且結合了生理，心理，電腦等科技而成為新的研究領域。-Voice and image recognition in order to be similar to the function of the human brain,
GPU-CUDA001
- 文章介绍如何使用CUDA实现神经网络，并把他应用在GPU图像处理单元上。 -An Artificial Neural Network is an information processing method that was inspired by the way biological nervous systems function, such as the brain, to process information. It is composed of a large number of
MR-image-segmentation
- 对MR脑肿瘤图像进行分割,并对分割的结果进行矩描述。方法 在分析当前常用的医学图像分割方法 的基础上,提出一种基于形变模型的医学图像分割方法,并给出了相应的理论算法模型和实现步骤,最后用Visual C ++ 6·0编程,并对MR脑肿瘤图像进行分割实验 -MR images of brain tumor segmentation, and segmentation results Moment. Methods used in the analysis of the current
neur271
- 大脑神经网络中的皮层和丘脑模型计算程序，采用HH模型进行计算，可以得出神经元电位发放图。-Brain cortex and thalamus in the network model procedure for the HH model is calculated potential distribution of neurons can be drawn map.
Scp
- 这是对脑电波处理的共空间模式的matlab程序，主要是提取脑电波的空间特征，并进行降维，然后用支持向量机进行分类。-This is the space of brain wave processing of model of the matlab, mainly is the space of the brain wave characteristic extraction, and dimensional reduction, then classified by support vector
ganzhi
- 感知准则函数是五十年代由Rosenblatt提出的一种自学习判别函数生成方法，Rosenblatt企图将其用于脑模型感知器，因此被称为感知准则函数。其特点是随意确定的判别函数初始值，在对样本分类训练过程中逐步修正直至最终确定。 -Perception criterion function is the 1950s proposed by Rosenblatt, a self-learning discriminant function generation method, Rosenblat
BP-neural-network-instance
- 人工神经网络是一种应用类似于大脑神经突触联接的结构进行信息处理的数学模型-The artificial neural network is an application similar to the structure of the brain synaptic connections to the mathematical model of information processing
Cognitive-Radio-Brain-Empowered
- Simon Haykin的基于脑模型的认知无线通讯-Simon Haykin，brain-based model of cognitive wireless communication
GeneticAlgorithmMaximalMutual
- 摘 要：针对人脑的二维图像设计了一种遗传算法和最大互信息相结合的医学图像配准算法，采用互信息配准模型，以图像的灰度统计信息为配准依据，用改进的遗传算法搜索图像间的最优变换参数，并用最大互信息作为目标函数指导最优变换参数的搜索。通过实验验证了算法的可行性和稳定性。-Abstract: The paper designs a registration algorithm which links improved genetic algorithm and the maximal mutual inf
Learning-hierarchical-invariant
- deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。-deep learning hierarchy of learni
1
- 自运行，有结果。代码-基于局部高斯概率的脑MR图像分割模型，把脑mr图像分割为白质，灰质和脑脊液三部分，-Since operation and results. Code- based on local Gaussian probability of brain MR image segmentation model, the brain mr image into white matter, gray matter and cerebrospinal fluid of three parts