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International Symposium on Bioelectronics and Bioinformations 2011最新文献

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Multispectral adaptive optics photoacoustic imaging 多光谱自适应光学光声成像
International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-11-01 DOI: 10.1109/ISBB.2011.6107648
X. Jian, Yaoyao Cui, Jiayong Yan
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引用次数: 1
Important numerical features for novel endoplasmic reticulum genes classification of protein localizations in micrographs 新型内质网基因在显微图像中蛋白质定位分类的重要数值特征
International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-11-01 DOI: 10.1109/ISBB.2011.6107675
Han-Wei Dan, Chung-Chih Lin, Y.‐S. Tsai
{"title":"Important numerical features for novel endoplasmic reticulum genes classification of protein localizations in micrographs","authors":"Han-Wei Dan, Chung-Chih Lin, Y.‐S. Tsai","doi":"10.1109/ISBB.2011.6107675","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107675","url":null,"abstract":"Localization of proteins ties closely with the protein functions-the disorder of protein delivering can cause misfunction of the protein and genetic diseases. The analysis of micrographs can help to understand the distribution of proteins in the cell. ER protein's images analysis leads the researches to know that the same protein localization means the proteins have same function, and to understand the phylogenetic relationship by image's morphologies. This research uses SDA to find the best combination of features from original, skeletonized and brighter area images, which then utilized in SVM classification. The accuracy of this system can achieve 74% for the images acquired by the same hardware equipment.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127077738","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
X-ray angiogram image enhancement in DSA with generalized fuzzy operator 广义模糊算子在DSA中的x线血管造影图像增强
International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-11-01 DOI: 10.1109/ISBB.2011.6107673
Yuan Xinqi, Zhao Shujun, Zhou Fugen, Zhang Tao, Fu Weiwei, Xu Chuan, L. Min
{"title":"X-ray angiogram image enhancement in DSA with generalized fuzzy operator","authors":"Yuan Xinqi, Zhao Shujun, Zhou Fugen, Zhang Tao, Fu Weiwei, Xu Chuan, L. Min","doi":"10.1109/ISBB.2011.6107673","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107673","url":null,"abstract":"It is believed that fuzzy set theory is a useful tool for handling the uncertainty associated with vagueness and/or imprecision. In this paper, by using a fuzzy entropy approach, a novel adaptive image fuzzy enhancement algorithm is presented. After a general discussion on fuzzy entropy, the concept of elementary entropy function of a fuzzy set is introduced. Using this mapping, the selection of the threshold value in image enhancement is beneficial to a certain extent. The second part of the paper investigates the applicability of the generalized fuzzy operator (GFO), which not only has a closing character and an automatic-adjusting character, but also has a transplant character to other enhancement arithmetic. One typical example is used for evaluation this algorithm at last, which is the X-ray angiogram image come from the Digital Subtraction Angiography (DSA).","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127713998","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
LVQ neural network applied for upper limb motion recognition for home-based stroke rehabilitation LVQ神经网络应用于家庭脑卒中康复的上肢运动识别
International Symposium on Bioelectronics and Bioinformations 2011 Pub Date : 2011-11-01 DOI: 10.1109/ISBB.2011.6107668
Lei Yu, Liquan Guo, X. Gu, Jianming Fu, Qiang Fang
{"title":"LVQ neural network applied for upper limb motion recognition for home-based stroke rehabilitation","authors":"Lei Yu, Liquan Guo, X. Gu, Jianming Fu, Qiang Fang","doi":"10.1109/ISBB.2011.6107668","DOIUrl":"https://doi.org/10.1109/ISBB.2011.6107668","url":null,"abstract":"To improve the rehabilitation effectiveness and reduce the hospital costs, a new upper limb motion recognition model, through which hospital based clinicians can remotely supervise home based stroke rehabilitation, is proposed in this paper. Firstly, the real time limb motion data is collected using a 3-axis accelerometer sensor which is fixed on the upper limb of a patient. Secondly, the Wavelet Transform is employed to extract the approximation coefficients of different types of rehabilitation motions. Finally, a recognition model is established based on an LVQ neural network. 2 typical rehabilitation motions, Bobath handshaking and wrist turning, were chosen to test this proposed recognition system. The experiment results indicate that the recognition accurate rate can achieve as high as 100%. This pilot forms a foundation to further develop a home based remote training and assessment system for stroke rehabilitation.","PeriodicalId":345164,"journal":{"name":"International Symposium on Bioelectronics and Bioinformations 2011","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129123759","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
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