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检索条件"机构=Key Laboratory of Intelligent Computing in Medical Image"

共 856 条记录，以下是691-700 订阅

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Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning

Measure optimized cost-sensitive neural network ensemble for...

引用

International Conference on Hybrid intelligent Systems (HIS)

作者： Peng Cao Dazhe Zhao Osmar Zaiane Key Laboratory of Medical Image Computing of Ministry of Education Northeastern University Shenyang China Computing Science University of Alberta Edmonton Canada

The performance of traditional classification algorithms can be limited on imbalanced datasets. In recent years, the imbalanced data learning problem has drawn significant interest. In this work, we focus on designing modifications to neural network, in order to appropriately tackle the problem of multiclass imbalance. We propose a hybrid method that combines two ideas: diverse random subspace ensemble learning with evolutionary search, to improve the performance of neural network on multiclass imbalanced data. An evolutionary search technique is utilized to optimize the misclassification cost under the guidance of imbalanced data measures. Moreover, the diverse random subspace ensemble employs the minimum overlapping mechanism to provide diversity so as to improve the performance of the learning and optimization of neural network. We have demonstrated experimentally using UCI datasets that our approach can achieve better result than state-of-the-art methods for imbalanced data.

关键词： Artificial neural networks Annealing Glass Testing Radio frequency

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Research of medical image non-rigid registration based on TPS-SEMISURF algorithm

引用

2013 3rd International Symposium on Chemical Engineering and Material Properties, ISCEMP 2013

作者： Dong, Ao Shuang Yang, Ben Qiang Zhao, Dan Yang He, Bao Chun Zhang, Li Bo Yang, Guang Ming Tong, Qiang Gao, Tian Han Jiang, Hui Yan Software College Northeastern University Shenyang 110819 China Radioactive Branch PLA General Hospital of Shenyang Military Region Shenyang 110016 China Key Laboratory of Medical Image Computing Northeastern University Ministry of Education Shenyang 110819 China

ISBN: (纸本)9783037858363

Aiming at avoiding misregistration in complicated medical image registration based on SURF (Speed-Up Robust Features)-TPS (Thin-Plate Spline), we propose a novel algorithm. This method is based on SURF and human interaction method for feature extraction. Then we improve SURF-TPS and propose an algorithm named TPS-SEMISURF which obtains the deformation field by calculating the Thin-plate spline of the feature points, and finally does the medical image non-rigid registration according to the parameters. Experimental results showed that the proposed method can register medical images effectively. It has a good robustness and owns better precision and rate than traditional algorithm. © (2013) Trans Tech Publications, Switzerland.

关键词： image registration

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medical image enhancement method based on wavelet transform and mode decomposition

Medical image enhancement method based on wavelet transform ...

引用

2013 International Conference on Mechatronic Systems and Materials Application, ICMSMA 2013

作者： Dong, Ao Shuang Lou, Bin Bin Jiang, Hui Yan Tong, Qiang Yang, Guang Ming Gao, Tian Han Yang, Ben Qiang Zhang, Li Bo Software College Northeastern University Shenyang 110819 China Key Laboratory of Medical Image Computing Northeastern University Ministry of Education Shenyang 110819 China Radioactive Branch PLA General Hospital of Shenyang Military Region Shenyang 110016 China

ISBN: (纸本)9783037858158

Traditional medical image enhancement method has some disadvantages. They can not significantly improve the medical image edge, texture and detailed information. Besides the enhancement effect is susceptible to interference noise information. This paper proposed enhancement algorithms combining bidimensional empirical mode decomposition and the wavelet edge enhancement method. The first step is using the method of bidimensional empirical mode decomposition to process medical image, achieve image information with different frequency. And then our method using wavelet transform to enhance different frequency image edge, texture information. Through the comparison of proposed method with the existing method, it has been verified the proposed method has a better effect in the detail enhancement of medical images. © (2013) Trans Tech Publications, Switzerland.

关键词： image enhancement

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Breast Tumor Detection in Double Views Mammography Based on Simple Bias

Breast Tumor Detection in Double Views Mammography Based on ...

引用

2013 IEEE International Conference on medical Imaging Physics and Engineering

作者： Shiya Zhang Zhongzhou Chen Sheng Gu Xihe Qiu Qixun Qu Zhiqiong Wang Sino-Dutch Biomedical & Information Engineering School Northeastern University Key Laboratory of Medical Image Computing Ministry of Education

Breast tumor detection is a most effective way to immunized against mammary *** is known that the sort algorithm of extreme learning machine(ELM),in view of the feature model for breast X-ray image,is being applied in the computer aided detection of breast *** the basis of all these,it is raised in this paper that marking for the suspicious region in the double view mammography by the use of ELM,then classifying the result of double views marking by using the Simple Bias classifier and finally gaining the detection *** experiment with 444 cases or 222 pair of X-ray mammography from Liao Ning Province Cancer Hospital shows that,the breast tumor detection in double views mammography based on Simple Bias is an available and effective way to detect breast tumor.

关键词： Extreme learning machine,Simple Bias,mammography,double views,tumor detection

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Cost sensitive adaptive random subspace ensemble for computer-aided nodule detection

Cost sensitive adaptive random subspace ensemble for compute...

引用

IEEE International Symposium on Computer-Based medical Systems

作者： Peng Cao Dazhe Zhao Osmar Zaiane Key Laboratory of Medical Image Computing of Ministry of Education Northeastern University China University of Alberta Edmonton Alberta Canada

ISBN: (纸本)9781479910526

Many lung nodule computer-aided detection methods have been proposed to help radiologists in their decision making. Because high sensitivity is essential in the candidate identification stage, there are countless false positives produced by the initial suspect nodule generation process, giving more work to radiologists. The difficulty of false positive reduction lies in the variation of the appearances of the potential nodules, and the imbalance distribution between the amount of nodule and non-nodule candidates in the dataset. To solve these challenges, we extend the random subspace method to a novel Cost Sensitive Adaptive Random Subspace ensemble (CSARS), so as to increase the diversity among the components and overcome imbalanced data classification. Experimental results show the effectiveness of the proposed method in terms of G-mean and AUC in comparison with commonly used methods.

关键词： Cost random ensemble

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Modeling and stability analysis of the propagation of a worm

Modeling and stability analysis of the propagation of a worm

引用

2013 International Conference on Sport Science and Computer Science (CCCS 2013)

作者： Yu Yao Zhao Zhang Shuo Li Fuxiang Gao Ge Yu College of Information Science and Engineering Northeastern University Key Laboratory of Medical Image Computing Northeastern UniversityMinistry of Education

Internet worm can spread not only via networks but also through external removable *** this paper,considering the influence of removable media,we construct two new worm propagation *** analyzing the local asymptotic stability at infection-free equilibrium,a basic reproduction number is *** is locally stable at infection-free equilibrium if basic reproduction number is less than one;whereas system will lose its *** numerical experiments are given to support the theoretical ***,simulating the propagation behavior via simulation experiments,we further demonstrate the correctness of theoretical analysis.

关键词： worm propagation models removable media infection-free equilibrium basic reproduction number simulation

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A Web Abdominal Anatomical Structure Database System

A Web Abdominal Anatomical Structure Database System

引用

2013 IEEE International Conference on medical Imaging Physics and Engineering

作者： Jiafeng Li Baochun He Huiyan Jiang Benqiang Yang Libo Zhang Qiang Tong Aoshuang Dong Software College Northeastern University Key Laboratory of Medical Image Computing of Ministry of Education Radiology Department PLA General Hospital

Abdominal anatomical structure database is a necessary precondition for medical image computer-aided *** this paper,a Web database system based on the CT abdomen anatomy images is *** system consists of abdominal viscera segmentation and anatomical structure ***,we need to segment the spleen and liver in abdominal CT *** spleen segmentation,an improved Otsu-based algorithm is put forward;for liver segmentation,an improved algorithm combined probability graph and traditional graph cut segmentation algorithm is ***,a Web oriented abdominal viscera anatomical structure database system using SSI framework is constructed,storing and managing image information of segmented ***,through the experimental measurement for abdominal CT image segmentation and database system,the experimental results show that the proposed segmentation algorithm and the liver spleen segmentation algorithm can get more accurate segmentation *** database system can provide remote management,making it available for medical researchers use the computer remotely access to the Internet to obtain the required data anywhere.1

关键词： CT images,abdominal anatomical structure database,SSI,image segmentation

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An Accuracy Adaptive Breast Tumor Gene Classification Method

An Accuracy Adaptive Breast Tumor Gene Classification Method

引用

2013 IEEE International Conference on medical Imaging Physics and Engineering

作者： Yue Zhao Luxuan Qu Hongbing Hu Lei Chen Sino-Dutch Biomedical and Information Engineering School Northeastern University Key Laboratory of Medical Image Computing Ministry of EducationNortheastern University

The method on gene classification has been widely studied with the development of gene *** learning is the best choice to research the *** both traditional SVM and ELM cannot fulfill the requirement of high accuracy and short ***,in this paper,we propose a novel Accuracy Adaptive Extreme Learning Machine(A 2-ELM) which can cover the shortage of traditional SVM and ELM in the fact of more ***,we propose a method of feature selection and overview the property of traditional ***,an Accuracy of Adaptive ELM(A 2-ELM) is developed,which can fulfill the requirement for accurately and ***,we conduct experiments on gene expression data to verify the dynamic and accurate of our proposed accuracy of adaptive ELM in classification gene expression data with experimental settings.

关键词： Breast Tumor,Gene Classification,Accuracy Adaptive,Extreme Learning Machine

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Vibration Measurement of Dental CBCT Based on 3D Accelerometer

Vibration Measurement of Dental CBCT Based on 3D Acceleromet...

引用

2013 IEEE International Conference on medical Imaging Physics and Engineering

作者： Quanhai Fu Chaojie Li Sino-Dutch Biomedical and Information Engineering School Northeastern University Key Laboratory of Medical Image Computing Ministry of EducationNortheastern University

Currently,dental CBCT(Cone-Beam Computed Tomography) is wildly used in the tooth implantation,maxillofacial surgery and the treatment of temporomandibular joint *** three-dimensional images of Dental CBCT are reconstructed based on the projection images,which are obtained at each degree of *** projected image should have a precise correspondence with the angle of rotation of *** vibration occurs during the rotation,artifacts will be caused from reconstruction,thus affecting the image *** has a very important significance on the image reconstruction if vibration information of CBCT arm can be detected and *** paper presented a vibration measuring device based 3D accelerometer,which can measure and evaluate vibration of CBCT during *** this device,vibration information can be sensed by 3D *** analog signals are sampled by Microprocessor with internal ADC ***,all data are sent to PC via wireless communication *** written by MATLAB will acquire,display,save and analyze data from measurement device,which makes it possible that evaluates vibration information from CBCT.

关键词： 3D accelerometer,CBCT,vibration

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3D Display Technology in medical Imaging Field

3D Display Technology in Medical Imaging Field

引用

2013 IEEE International Conference on medical Imaging Physics and Engineering

作者： Yue Zhao Yongtao Wei Xiaoyu Cui Luxuan Qu Lin Liu Yusong Wang Sino-Dutch Biomedical and Information Engineering School Northeastern University Key Laboratory of Medical Image Computing Ministry of EducationNortheastern University

3D display can reflect the image depth information and make the image present stereoscopic sensation to improve the medical imaging effect and diagnosis accuracy,if the technology can be used in image guide surgery to diagnose lesion *** paper will mainly elaborate some advanced naked eye 3D display technologies--multi-view auto-stereoscopic display technology,integral photography 3D display technology and holographic 3D display *** last,image guide surgery based on interactive 3D navigation system is ***,this paper indicates the trend of medical imaging fields.

关键词： 3D Display,medical Imaging,Diagnosis,Interactive,Navigation.

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