检索结果-内蒙古大学图书馆

Automatic system for alzheimer's disease diagnosis using eigenbrains and bayesian classification rules

10th International Work-Conference on Artificial Neural Networks, IWANN 2009

作者： López, M. Ramírez, J. Górriz, J.M. Álvarez, I. Salas-Gonzalez, D. Segovia, F. Puntonet, C.G. Dept. of Signal Theory Networking and Communications University of Granada Spain Dept. of Architecture and Computer Technology University of Granada Spain

ISBN: (纸本)3642024777

Alzheimer's Disease (AD) is a progressive neurologic disease of the brain that leads to the irreversible loss of neurons and dementia. The new brain imaging techniques PET (Positron Emission Tomography) and SPECT (Single Photon Emission Computed Tomography) provide functional information about the brain activity and have been widely used in the AD diagnosis process. However, the diagnosis currently relies on manual image reorientations, visual evaluation and other subjective, time consuming steps. In this work, a complete computer aided diagnosis (CAD) system is developed to assist the clinicians in the AD diagnosis process. It is based on bayesian classifiers, made up from features previously extracted. The small size sample problem, consisting of having a number of available samples much lower than the dimension of the feature space, is faced up by applying Principal Component Analysis (PCA) to the features. This approach provides higher accuracy values than other previous approaches do, yielding 91.21% and 98.33% accuracy values for SPECT and PET images, respectively. © 2009 Springer Berlin Heidelberg.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Early detection of the alzheimer disease combining feature selection and kernel machines

Early detection of the alzheimer disease combining feature s...

引用

15th International Conference on Neuro-Information Processing, ICONIP 2008

作者： Ramírez, J. Górriz, J.M. López, M. Salas-Gonzalez, D. Álvarez, I. Segovia, F. Puntonet, C.G. Dept. of Signal Theory Networking and Communications University of Granada Spain Dept. of Architecture and Computer Technology University of Granada Spain

ISBN: (纸本)3642030394

Alzheimer disease (AD) is a progressive neurodegenerative disorder first affecting memory functions and then gradually affecting all cognitive functions with behavioral impairments. As the number of patients with AD has increased, early diagnosis has received more attention for both social and medical reasons. However, currently, accuracy in the early diagnosis of certain neurodegenerative diseases such as the Alzheimer type dementia is below 70% and, frequently, these do not receive the suitable treatment. Functional brain imaging including single-photon emission computed tomography (SPECT) is commonly used to guide the clinician's diagnosis. However, conventional evaluation of SPECT scans often relies on manual reorientation, visual reading and semiquantitative analysis of certain regions of the brain. These steps are time consuming, subjective and prone to error. This paper shows a fully automatic computer-aided diagnosis (CAD) system for improving the accuracy in the early diagnosis of the AD. The proposed approach is based on feature selection and support vector machine (SVM) classification. The proposed system yields clear improvements over existing techniques such as the voxel as features (VAF) approach attaining a 90% AD diagnosis accuracy. © 2009 Springer Berlin Heidelberg.

关键词： Neurodegenerative diseases

来源：评论

学校读者我要写书评

暂无评论

Selecting regions of interest for the diagnosis of alzheimer's disease in brain SPECT images using welch's t-test

引用

10th International Work-Conference on Artificial Neural Networks, IWANN 2009

作者： Salas-Gonzalez, D. Górriz, J.M. Ramírez, J. López, M. Álvarez, I. Segovia, F. Puntonet, C.G. Dept. of Signal Theory Networking and Communications University of Granada Granada 18071 Spain Dept. of Computer Architecture and Computer Technology University of Granada Granada 18071 Spain

ISBN: (纸本)3642024777

This paper presents a computer-aided diagnosis technique for the diagnosis of Alzheimer type dementia. The proposed methodology is based on the selection of voxels which present a Welch's t-test between both classes, Normal and Alzheimer images, greater than a given value. The mean and standard deviation of intensity values are calculated for selected voxels. They are chosen as feature vectors for two different classifiers: support vector machines with linear kernel and classification trees. The proposed methodology reaches an accuracy greater than 98 % in the classification task. © 2009 Springer Berlin Heidelberg.

关键词： computer aided diagnosis

来源：评论

学校读者我要写书评

暂无评论

computer aided diagnosis of alzheimer disease using support vector machines and classification trees

Computer aided diagnosis of alzheimer disease using support ...

引用

15th International Conference on Neuro-Information Processing, ICONIP 2008

ISBN: (纸本)3642030394

This paper presents a computer-aided diagnosis technique for improving the accuracy of the early diagnosis of the Alzheimer type dementia. The proposed methodology is based on the combination of support vector machine learning with linear kernels and classification trees. The classification tree technique allows to choose wisely the most discriminant set of voxels in the images. Thus, the classification tree produces a considerably improvement upon considering the support vector machine classifier only. © 2009 Springer Berlin Heidelberg.

关键词： computer aided diagnosis

来源：评论

学校读者我要写书评

暂无评论

Selecting regions of interest for the diagnosis of alzheimer using brain SPECT images

引用

6th International Symposium on Neural Networks, ISNN 2009

作者： Salas-Gonzalez, Diego Górriz, Juan M. Ramírez, Javier Álvarez, Ignacio López, Míriam Segovia, Fermín Puntonet, Carlos G. Dept. of Signal Theory Networking and Communications University of Granada Granada 18071 Spain Dept. of Computer Architecture and Computer Technology University of Granada Granada 18071 Spain

ISBN: (纸本)3642015123

This paper presents a computer-aided diagnosis technique for improving the accuracy of the early diagnosis of the Alzheimer type dementia. The proposed methodology is based on the selection of those voxels which present a greater difference between normals and Alzheimer's type dementia patients. The mean value of the intensities of the selected voxels are used as features for different classifiers. The proposed methodology reaches an accuracy of 89% in the classification task. © 2009 Springer Berlin Heidelberg.

关键词： computer aided diagnosis

来源：评论

学校读者我要写书评

暂无评论

Analysis of brain SPECT images for the diagnosis of alzheimer disease using first and second order moments

Analysis of brain SPECT images for the diagnosis of alzheime...

引用

3rd International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2009

作者： Salas-Gonzalez, D. Górriz, J.M. Ramírez, J. López, M. Álvarez, I. Segovia, F. Puntonet, C.G. Dept. of Signal Theory Networking and Communications University of Granada 18071 Granada Spain Dept. of Computer Architecture and Computer Technology University of Granada 18071 Granada Spain

ISBN: (纸本)3642022669

This paper presents a computer-aided diagnosis technique for improving the accuracy of the early diagnosis of the Alzheimer type dementia. The proposed methodology is based on the selection of the voxels which present greater overall difference between both modalities (normal and Alzheimer) and also lower dispersion. We measure the dispersion of the intensity values for normals and Alzheimer images by mean of the standard deviation images. The mean value of the intensities of selected voxels is used as feature for different classifiers, including support vector machines with linear kernels, fitting a multivariate normal density to each group and the k-nearest neighbors algorithm. The proposed methodology reaches an accuracy of 92 % in the classification task. © 2009 Springer Berlin Heidelberg.

关键词： computer aided diagnosis

来源：评论

学校读者我要写书评

暂无评论

A didactic test system for thermal characterization of electric and electronic devices

A didactic test system for thermal characterization of elect...

引用

3rd International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2009

作者： Luna-Rodriguez, Juan-J. Santiago-Chiquero, Isabel-P. Garrido-Pacha, Jose-I. Alvarez-Ruiz, Jose-A. Varo-Martinez, Marta Martinez-Jimenez, Pilar Dept. of Computer Architecture Electronics and Electronic Technology Rabanales Campus Leonardo da Vinci Building University of Cordoba 14071-Córdobe Spain Building University of Cordoba 14071-Córdobe Spain

ISBN: (纸本)1934272795

The thermal characterization of electric and electronic devices is an important topic during the training of future electric and electronic engineers, especially in technology subjects. In the industry and accredited laboratories, the thermal tests are carried out with environmental screening process and testing systems into special chambers. However, these test systems are not usually available for didactic purposes due to mainly their acquisition and maintenance cost. Consequently, a new test system for thermal characterization in didactic laboratories has been designed. This new system is simple, intuitive, and economically viable for universities and formation centres. Students, among other aspects, can analyze how temperature affects some specific parameters of various passive and active components. In this work a didactic thermal test system is presented and its use for laboratory practicals in the studies of Industrial Technical Engineering is discussed.

关键词： Thermoelectric equipment

来源：评论

学校读者我要写书评

暂无评论

Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab

Parallelization of the nearest-neighbour search and the cros...

引用

2009 International Conference on High Performance Computing and Simulation, HPCS '09

作者： Rubio, Gines Guillen, Alberto Pomares, Hector Rojas, Ignacio Paechter, Ben Glösekötter, Peter Torres-Ceballos, C.I. University of Granada Dept of Computer Architecture and Technology C/ Periodista Daniel Saucedo sn 18071 Granada Spain Centre for Emergent Computing School of Computing Napier University United Kingdom Dept. of Electrical Engineering and CS University of Applied Sciences Muenster Germany

ISBN: (纸本)9781424449071

The kernel weighted k-nearest neighbours (KWKNN) algorithm is an efficient kernel regression method that achieves competitive results with lower computational complexity than Least-Squares Support Vector Machines and Gaussian Processes. This paper presents the parallel implementation on a cluster platform of the sequential KWKNN implemented in Matlab. This implies both the parallelization of the k nearestneighbour search and the evaluation of the crossvalidation error on a large distributed data set. The results demonstrate the good performances of the implementation. © 2009 IEEE.

关键词： Nearest neighbor search

来源：评论

学校读者我要写书评

暂无评论

Shape optimization of shell roofs subjected to strong wind using multigrid method and variable complexity model

Journal of Structural and Construction Engineering

引用

Journal of Structural and Construction Engineering 2009年第636期74卷 297-304页

作者： Yamashita, Takuzo Kumagai, Tomohiko Ogawa, Toshiyuki Mjyamura, Tomoshi Ohsaki, Makoto Dept. of Archi. and Build. Eng. Tokyo Institute of Technology Japan Dept. of Computer Science College of Engineering Nihon University Japan Dept. of Architecture and Architectural Engineering Kyoto University Japan

Shape optimization of shell roofs subjected to strong wind is camed out to mimmize the maximum vertical displacement. The three dimensional (3D) fluid flow analysis is performed to obtain highly precise dynamic wind load. To reduce the large computational cost of the 3D analysis, the multignd method is employed to solve the pressure Poisson equation. The objective function of the optimization problem is expected to have strong nonlineanty. Employing Response Surface Model (RSM), the objective function is approximated as a smooth function so that computational cost of the optimization is reduced. Analyses for several experimental points are required to generate RSM. It is not practical to perform 3D analyses for all experimental points due to huge computational cost. Vanable Complexity Model (VCM) is useful for generating RSM. VCM is the method combining a high-fidelity model and a low-fidelity model. As the method of generating RSM, two kinds of methods are employed;(1) VCM (2) 3D analyses for all the experimental points. Optimized shapes are obtained by both methods. Although the value of the objective function of (1) is slightly larger than that of (2), the computation for (1) is much faster than that for (2).

关键词： Shape optimization

来源：评论

学校读者我要写书评

暂无评论

An architecture for the seamless integration of UAS remote sensing missions

An architecture for the seamless integration of UAS remote s...

引用

作者： Pastor, E. Barrado, C. Royo, P. Lopez, J. Santamaria, E. Prats, X. Technical University of Catalonia Barcelona Spain Computer Architecture Dept. Avda. del Canal Olímpic 15 08860 Castelldefels Spain Castelldefels School of Technology Avda. del Canal Olímpic 15 08860 Castelldefels Spain

ISBN: (纸本)9781563479717

Unmanned Aerial Systems (UAS) are slowing becoming efficient platforms that can be applied in scientific/commercial remote sensing applications. UAS may offer interesting benefits in terms of cost, exibility, endurance, etc. On the other side, the complexity of developing a full UAS-system is currently limiting its practical application. Currently, only large organizations like NASA or NOAA have enough budget and infrastructure to develop such applications. Nowadays, UAS technology offers feasible technical solutions for airframes, flight control, communications, and a wide set of multi-spectrum sensors. However, the generalized development of remote sensing applications are still limited by the absence of systems that support the development of the actual UAS sensing mission. This paper introduces a flexible and reusable hardware/software architecture designed to facilitate the development of UAS-based remote sensing applications. This exibility is organized into an user-parameterizable UAS Service Abstraction Layer (USAL). The USAL defines a collection of standard services are their interrelations as a basic starting point for further development by users. Functionalities like enhanced flight-plans, a mission control engine, data storage, communications management, etc. are offered. Additional services can be included according to requirements but all existing services and inter-service communication infrastructure can be exploited and tailored to specific needs. The overall USAL architecture is demonstrated by means of a wild land fire remote sensing application currently being developed to support fire fighters in the Mediterranean area. Copyright © 2009 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： NASA

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：