2009 IEEE/NIH Life Science Systems and Applications Workshop最新文献_第3页

Adaptive image sensor for optical spike detection 用于光脉冲检测的自适应图像传感器

2009 IEEE/NIH Life Science Systems and Applications Workshop Pub Date : 2009-04-09 DOI: 10.1109/LISSA.2009.4906732

A. Haas

引用次数: 0

Wavelet-based denoising and beat detection of ECG signal 基于小波的心电信号去噪与节拍检测

2009 IEEE/NIH Life Science Systems and Applications Workshop Pub Date : 2009-04-09 DOI: 10.1109/LISSA.2009.4906719

M. Faezipour, Tarun Tiwari, A. Saeed, M. Nourani, L. Tamil

引用次数: 41

Surface-mounted dry electrode and analog-front-end systems for physiological signal measurements 用于生理信号测量的表面安装干电极和模拟前端系统

2009 IEEE/NIH Life Science Systems and Applications Workshop Pub Date : 2009-04-09 DOI: 10.1109/LISSA.2009.4906721

C.W. Chang, J. Chiou

引用次数: 12

Pattern recognition for biomedical imaging and image-guided diagnosis 生物医学成像和图像引导诊断的模式识别

2009 IEEE/NIH Life Science Systems and Applications Workshop Pub Date : 2009-04-09 DOI: 10.1109/LISSA.2009.4906724

Nikita V. Orlov, John D. Delaney, D. Eckley, L. Shamir, I. Goldberg

{"title":"Pattern recognition for biomedical imaging and image-guided diagnosis","authors":"Nikita V. Orlov, John D. Delaney, D. Eckley, L. Shamir, I. Goldberg","doi":"10.1109/LISSA.2009.4906724","DOIUrl":"https://doi.org/10.1109/LISSA.2009.4906724","url":null,"abstract":"Pattern recognition techniques can potentially be used to quantitatively analyze a wide variety of biomedical images. A challenge in applying this methodology is that biomedical imaging uses many imaging modalities and subjects. Pattern recognition relies on numerical image descriptors (features) to describe image content. Thus, the application of pattern recognition to biomedical imaging requires the development of a wide variety of image features. In this study we compared the efficacy of different techniques for constructing large feature spaces. A two-stage method was employed where several types of derived images were used as inputs for a bank of feature extraction algorithms. Image pyramids, subband filters, and image transforms were used in the first-stage. The feature bank consisted of polynomial coefficients, textures, histograms and statistics as previously described [1]. The basis for comparing the performance of these feature sets was the biological imaging benchmark described in [2]. Our results show that a set of image transforms (Fourier, Wavelet, Chebyshev) performed significantly better than a set of image filters (image pyramids, sub-band filters, and spectral decompositions). The transform technique was used to analyze images of H&E-stained tissue biopsies from two cancers: lymphoma (three types of malignancies) and melanoma (benign, primary, and five secondary tumor sites). The overall classification accuracy for these cancer data sets was 97%.","PeriodicalId":285171,"journal":{"name":"2009 IEEE/NIH Life Science Systems and Applications Workshop","volume":"18 21","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133424953","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: 3

Ear type circuit and system simulating the auditory brainstem response for auditory disorder characterization 听觉障碍表征中模拟听觉脑干反应的耳型电路和系统

2009 IEEE/NIH Life Science Systems and Applications Workshop Pub Date : 2009-04-09 DOI: 10.1109/LISSA.2009.4906711

K. Limpaphayom, R. Newcomb, P. Isipradit

引用次数: 2

In vitro and in vivo studies on wireless powering of medical sensors and implantable devices 医疗传感器和植入式装置无线供电的体内外研究

2009 IEEE/NIH Life Science Systems and Applications Workshop Pub Date : 2009-04-09 DOI: 10.1109/LISSA.2009.4906715

Fei Zhang, Xiaoyu Liu, S. A. Hackworth, R. Sclabassi, Mingui Sun

引用次数: 126

Multi-input silicon neuron with weighting adaptation 具有权重自适应的多输入硅神经元

2009 IEEE/NIH Life Science Systems and Applications Workshop Pub Date : 2009-04-09 DOI: 10.1109/LISSA.2009.4906744

Ming-ze Li, Po Ping-Wang, K. Tang, W. Fang

引用次数: 2

Analyzing the diffusion patterns for follow-up study of Glioblastoma multiforme using Diffusion Tensor Imaging 弥散张量成像对多形性胶质母细胞瘤随访研究的扩散模式分析

2009 IEEE/NIH Life Science Systems and Applications Workshop Pub Date : 2009-04-09 DOI: 10.1109/LISSA.2009.4906717

Hai Li, Z. Xue, Jiong Xing, Lei Guo, Stephen T. C. Wong

{"title":"Analyzing the diffusion patterns for follow-up study of Glioblastoma multiforme using Diffusion Tensor Imaging","authors":"Hai Li, Z. Xue, Jiong Xing, Lei Guo, Stephen T. C. Wong","doi":"10.1109/LISSA.2009.4906717","DOIUrl":"https://doi.org/10.1109/LISSA.2009.4906717","url":null,"abstract":"Studying the growth/recurrence of Glioblastoma multiforme (GBM) is very important not only for diagnosis but also for understanding and detecting the recurrence of GBM after surgery. In this paper, a novel DTI-based method is proposed to analyze the recurrence pattern of GBM based on serial Magnetic Resonance Imaging (MRI). After detecting the tumor shapes from T1-weighted images, the diffusion pattern around the tumor can be calculated from the Diffusion Tensor Imaging (DTI) data. This diffusion pattern is then compared with the tumor shapes detected in the follow-up studies, and a quantitative analysis is performed to find the relationship between the morphological changes of the tumor and the diffusion pattern calculated from DTI images. Using the postsurgical longitudinal GBM data acquired from The Methodist Hospital, it has been found that the recurrence patterns of GBM are correlated with the diffusion patterns calculated from DTI images. This finding suggests that the combination of the quantitative measures of both longitudinal morphological and diffusion pattern changes provides more accurate measures about the growth or recurrence of GBM. The proposed method can be used in the follow-up study of GBM as well as in clinical trials of various treatment methods.","PeriodicalId":285171,"journal":{"name":"2009 IEEE/NIH Life Science Systems and Applications Workshop","volume":"55 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120816919","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

Systematic study of enhanced cytotoxicity effects of gold-based nanoparticles in targeted cancer radiotherapy 金基纳米颗粒在肿瘤靶向放疗中增强细胞毒性作用的系统研究

2009 IEEE/NIH Life Science Systems and Applications Workshop Pub Date : 2009-04-09 DOI: 10.1109/LISSA.2009.4906702

K. Song, P. Xu, Yongde Meng, Jie Chen, Xiaoyan Yang, W. Roa, B. Kong, J. Xing

引用次数: 3

Wireless magnetic tracking system for radiation therapy 用于放射治疗的无线磁跟踪系统

2009 IEEE/NIH Life Science Systems and Applications Workshop Pub Date : 2009-04-09 DOI: 10.1109/LISSA.2009.4906731

Tae-Young Choi, Wing-Fai Loke, T. Maleki, B. Ziaie, L. Papiez, B. Jung

引用次数: 6