2013 6th International Conference on Biomedical Engineering and Informatics最新文献_第8页

A new method of decoupling for gradient systems in MRI MRI梯度系统解耦的新方法

2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746896

Guang Chen, Wenhui Yang, X. Lv

引用次数: 0

A computer-aided diagnosis system for lung nodule detection in chest radiographs using a two-stage classification method based on radial gradient and template matching 基于径向梯度和模板匹配的两阶段分类方法的胸片肺结节检测计算机辅助诊断系统

2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746911

R. Nagata, T. Kawaguchi, H. Miyake

{"title":"A computer-aided diagnosis system for lung nodule detection in chest radiographs using a two-stage classification method based on radial gradient and template matching","authors":"R. Nagata, T. Kawaguchi, H. Miyake","doi":"10.1109/BMEI.2013.6746911","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6746911","url":null,"abstract":"In this paper we propose a scheme for automated detection of lung nodules in chest radiographs. The proposed scheme first segments lungs in a chest image using an active shape model. Next, the scheme detects initial nodule candidates by using a method previously reported by the authors. After that, the proposed scheme classifies nodule candidates into nodules and false positives by using a two-stage classification method proposed in this paper. For performance evaluation of the proposed nodule detection scheme, we made experiments using 125 images with nodules in the JSRT database which is a public database. We created 40 data sets by 40 randomized selection of 80 training images and 45 test images from the 125 images. As the result of experiments using these 40 data sets, the proposed scheme gave 6.6, 7.6, and 9.1 false positives per image for sensitivity values of 60.1, 64.1, and 69.7% on the average of 40 data sets. The time needed by the proposed scheme was 8.2 seconds per image on the average of 40 data sets using 3.3GHz Intel PC.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114609765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Pattern analysis of imaging markers in abdominal aortic aneurysms 腹主动脉瘤的影像学特征分析

2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746925

T. Pham, J. Golledge

引用次数: 3

Analysis of features to distinguish epithelial cells and inflammatory cells in Pap smear images 巴氏涂片图像中上皮细胞与炎症细胞的特征分析

2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6746996

I. Muhimmah, Rahadian Kurniawan, Indrayanti

引用次数: 14

Adaptive color discrimination for image classification 自适应色彩判别图像分类

2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747055

M. Nakajima, Yenwei Chen, X. Han

{"title":"Adaptive color discrimination for image classification","authors":"M. Nakajima, Yenwei Chen, X. Han","doi":"10.1109/BMEI.2013.6747055","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747055","url":null,"abstract":"Semantic understanding of images remains an important research challenge in machine intelligence and statistical learning. It mainly includes two steps: feature extraction and classification. This study mainly focuses scene image recognition, where color information plays an important role. The conventional color representation of images mainly includes color distribution (histogram) and its statistical information based on uniformed quantization color bin. However, for a specific recognition application such several scene types, some quantized colors maybe never appear in any scene image, and at the same time the detail variation in other quantized colors include much discriminative features. Therefore, this study proposes to characterize the color information of scene images using a leaning strategy for producing adaptive color level, and extract the histogram of the learned color levels for image representation. With the proposed strategy, the compact (learned) color levels can represent the image in our application more faithful than the uniform quantized conventional RGB color. Experimental results show that the recognition rate with our proposed methods can be greatly improved compared to the conventional color histogram.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122932298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Regression based joint subspace learning for multi-view facial shape synthesis 基于回归的联合子空间学习多视图面部形状合成

2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747058

M. Seo, Yenwei Chen

{"title":"Regression based joint subspace learning for multi-view facial shape synthesis","authors":"M. Seo, Yenwei Chen","doi":"10.1109/BMEI.2013.6747058","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747058","url":null,"abstract":"Multi-view facial image synthesis is an important issue in computer graphics, 3D facial image reconstruction and accurate face recognition. In this paper, we propose a regression based joint subspace learning method (RJSL) for automatic multi-view facial shape synthesis. This method synthesizes multiview facial shapes from one input facial image. In conventional joint subspace learning based multi-view facial image synthesis, the coefficients estimated by using the input image is directly used for multi-view facial image synthesis. In our proposed method, the coefficients are estimated by a regression method based on the coefficients of the input facial image. We first construct a original multi-view facial database. The different view image pair (e.g. 0 degree and 15 degree, 0 degree and -15 degree) are connected as a joint vector for corresponding subspace learning. The training data are divided into two groups: one for joint subspace learning and another one for regression of coefficients. And our proposed method trains by shape information and texture information. In this paper, the shape information is expressed by feature points. And the texture information is expressed by luminosity values of normalized facial image. Our proposed method uses the luminosity value as depth information. In experimental step, this method trains pseudo 3-dimentional shape information (x, y-axises: feature points, z-axis: luminosity values). Our proposed method realizes accurate multi-view facial shape synthesis by these two contributions.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123152364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correlation dimension analysis of EEG signals induced by electrical acupuncture 电针诱发脑电图信号的相关维数分析

2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747008

Xiaoxia Li, Guizhi Xu, Xiukui Shang, K. Nie

{"title":"Correlation dimension analysis of EEG signals induced by electrical acupuncture","authors":"Xiaoxia Li, Guizhi Xu, Xiukui Shang, K. Nie","doi":"10.1109/BMEI.2013.6747008","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747008","url":null,"abstract":"In order to analyze the characteristics of EEG signals collected prior, during and post electrical acupuncture with nonlinear methods and to discuss the nonlinear properties of EEG under these conditions, eleven subjects were involved in the study. The subjects were kept quiet with eyes closed during acupuncture. EEG nonlinear indices correlation dimension were calculated for all the subjects. Results showed that correlation dimension D2 decreased gradually during the processes of acupuncture, and it reached the minimum point after the power was on for 20 minutes. The values of D2 in needle-withdrawal also decreased in comparison to the quiet status of pre-acupuncture. With EEG nonlinear analysis, the changes in brain function could be captured at different status of acupuncture. The results are in accord with the principle of Traditional Chinese Medicine. Stimulation of Neiguan and Shenmen could regulate of both the peripheral and the central nervous systems, providing a potential way of solving emotional issues, such as insomnia and muddled thinking. It was found that EEG nonlinear analysis could characterize the changes of brain functions pre-during- and after acupuncture states and might have some value in exploring the mechanism of acupuncture.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128592682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A preliminary study on multi-touch based medical image analysis and visualization system 基于多点触摸的医学图像分析与可视化系统的初步研究

2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747049

Jian Wang, Hua-Wei Tu, X. Han, T. Tateyama, Yenwei Chen

{"title":"A preliminary study on multi-touch based medical image analysis and visualization system","authors":"Jian Wang, Hua-Wei Tu, X. Han, T. Tateyama, Yenwei Chen","doi":"10.1109/BMEI.2013.6747049","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747049","url":null,"abstract":"Medical imaging plays a central role in many healthcare practices. With the development of medical imaging devices, the medical image data can be achieved in higher and higher definitions, and then how to analyze and visualize the acquired large-amount and complex data is a desiring demand in medical education and clinical fields. Therefore, this paper develops a multi-touch based medical image analysis and visualization system for analyzing medical images, displaying the whole body's organs of a subject and the interested organ and region to explore more detailed structures. The designed system includes three modules: (1) Image analysis module, which can smooth the medical image, and detect the edges in medical image automatically; (2) Visualization module, which can manifest not only the detailed information and global structures of an organ in different view-points but also the correlated location relations between different organs; (3) Control module, which can enable the user to easily interact with the system by multi-touch based control. The designed system is able to achieve a detail visualization of the integrated components, and can be applied to education, doctor-training and clinical sites.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"1221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124574147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Genetic analysis of the toxic effect of Tachyplesin I on the embryonic development of zebrafish 速胞素1对斑马鱼胚胎发育毒性作用的遗传分析

2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747014

Hongya Zhao, Jianguo Dai, Gang Jin

{"title":"Genetic analysis of the toxic effect of Tachyplesin I on the embryonic development of zebrafish","authors":"Hongya Zhao, Jianguo Dai, Gang Jin","doi":"10.1109/BMEI.2013.6747014","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747014","url":null,"abstract":"Tachyplesin I (TP-I) is an antimicrobial peptide isolated from the hemocytes of the horseshoe crab, Tachypleus tridentatus. In recent years, a series of biochemical analysis has been performed to gain insight into the mechanism of its strong antimicrobial and anticancer activity. With the development of microarray technology, the genetic analysis of the toxic effect of TP-I on embryo is originally considered in our recent study. Based on our microarray data of the embryonic samples treated with the different doses of TP-I, we perform a series of statistical data analysis to explore the biological process of TP-I on genomic level. In this paper, we employ the hexaMplot to illustrate the continuous variation of the gene expressions with the different dose. The hexaMplot was proved to be an intuitive and effective tool to illustrate the interrelations of genes within the different phenotypes. The strength of gradual alternation in gene expression can be implied in the modified hexaMplot by comparing the microarray data among the different doses of TP-I. The probabilistic model-based Hough transform (HT) is used to classify these co-expressed genes. Three line rays supported with the corresponding 174 genes are detected in our analysis. The feature genes identified on the same line ray of hexaMplot may show the similar expression patterns in varying the doses of TP-I. The functional groups of these genes, such as antigen processing, nuclear chromatin, structural constituent of eye lens, show the coherent biological function with the high significant as detected by Gene Ontology analysis.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116252926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Building localized bioinformatics platform based on Galaxy and high performance computing cluster 构建基于Galaxy和高性能计算集群的本地化生物信息学平台

2013 6th International Conference on Biomedical Engineering and Informatics Pub Date : 2013-12-01 DOI: 10.1109/BMEI.2013.6747031

Xiaolei Wang, Jiangyu Li, Yang Liu, Yu-feng Wang, Dongsheng Zhao

{"title":"Building localized bioinformatics platform based on Galaxy and high performance computing cluster","authors":"Xiaolei Wang, Jiangyu Li, Yang Liu, Yu-feng Wang, Dongsheng Zhao","doi":"10.1109/BMEI.2013.6747031","DOIUrl":"https://doi.org/10.1109/BMEI.2013.6747031","url":null,"abstract":"With the rapid development of high-throughput sequencing technology, biomedical research has entered into the era of big data. It causes problems about storage and analysis of massive biological data which need to be solved by high-performance computing. Therefore, we build the localized high-performance one-stop data analysis platform to provide convenient and efficient computational analysis services for biomedical researchers. We deploy Galaxy and integrate software tools and datasets into Galaxy in computing cluster, build stable web service, FTP service and management database in order to optimize and improve the performance of Galaxy, and use distributed resource management application interface to collaborate Galaxy with Sun Grid Engine for automatically scheduling and assigning computing resources. Currently the platform has been put into trial operation. The peak performance is 10 Teraflops and the capacity of storage is 40TB. The platform provides many functions such as sequence alignment, short sequence mapping, gene annotation, transcriptome analysis, metagenomic analysis and phylogenetic analysis, and approximately 700GB reference databases including human genome, viruses, bacteria, fungi, etc.","PeriodicalId":163211,"journal":{"name":"2013 6th International Conference on Biomedical Engineering and Informatics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121794127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1