{"title":"GDV measures vitality?","authors":"I. Kononenko, Miha Sedej, A. Sadikov","doi":"10.1109/CBMS.2005.55","DOIUrl":"https://doi.org/10.1109/CBMS.2005.55","url":null,"abstract":"The study verifies a hypothesis that GDV in fact measures vitality. For that purpose a limited study was performed and the findings support the hypothesis. However, further investigation is needed in order to more reliably confirm it.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125920107","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}
{"title":"On-line application performance monitoring of blood flow simulation in computational grid architectures","authors":"Alfredo Tirado-Ramos, D. Groen, P. Sloot","doi":"10.1109/CBMS.2005.79","DOIUrl":"https://doi.org/10.1109/CBMS.2005.79","url":null,"abstract":"We report on our findings after running a number of on-line performance monitoring experiments with a biomedical parallel application to investigate levels of performance at hardware resources distributed across a computational Grid network. We use on-line application monitoring for improved computational resource selection and application optimization. We used a number of user-defined performance metrics within the European CrossGrid Project's G-PM tool together with a blood flow simulation application based on the lattice Boltzmann method for fluid dynamics. We found that the performance results observed during our on-line experiments give us a more accurate view of computational resource status than the regular resource information provided by standard information services to resource brokers, and that on-line monitoring has good potential for optimizing our biomedical application for more efficient runs.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126668896","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}
{"title":"Wavelet-based texture classification of tissues in computed tomography","authors":"Lindsay Semler, L. Dettori, J. Furst","doi":"10.1109/CBMS.2005.105","DOIUrl":"https://doi.org/10.1109/CBMS.2005.105","url":null,"abstract":"The research presented in this article is aimed at developing an automated imaging system for classification of tissues in medical images. The article focuses on using texture analysis for the classification of tissues from CT scans. The approach consists of two steps: automatic extraction of the most discriminative texture features of regions of interest in the CT medical images and creation of a classifier that will automatically identify the various tissues. A comparative study of wavelets-based texture descriptors from three families of wavelets (Haar, Daubechies, Coiflets), coupled with the implementation of a decision tree classifier based on the Classification and Regression Tree (C&RT) approach is carried on. Preliminary results for a 3D data set from normal chest and abdomen CT scans are presented.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116333602","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}
Jin Yu, S. Abidi, P. Artes, A. McIntyre, M. Heywood
{"title":"Automated optic nerve analysis for diagnostic support in glaucoma","authors":"Jin Yu, S. Abidi, P. Artes, A. McIntyre, M. Heywood","doi":"10.1109/CBMS.2005.36","DOIUrl":"https://doi.org/10.1109/CBMS.2005.36","url":null,"abstract":"The availability of modern imaging techniques such as confocal scanning laser tomography (CSLT) for capturing high-quality optic nerve images offer the potential for developing automatic and objective methods for supporting clinical decision-making in glaucoma. We present a hybrid approach that features the analysis of CSLT images using moment methods to derive abstract image defining features, and the use of these features to train classifiers for automatically distinguishing CSLT images of healthy and diseased optic nerves. As a first step, in this paper, we present investigations in feature subset selection methods for reducing the relatively large input space produced by the moment methods. Our results demonstrate that our methods discriminate between healthy and glaucomatous optic nerves based on shape information automatically derived from CSLT tomography images.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125648522","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}
P. Jithesh, Noel Kelly, Paul Donachy, T. Harmer, R. Perrott, M. McCurley, M. Townsley, J. Johnston, S. McKee
{"title":"GeneGrid: grid based solution for bioinformatics application integration and experiment execution","authors":"P. Jithesh, Noel Kelly, Paul Donachy, T. Harmer, R. Perrott, M. McCurley, M. Townsley, J. Johnston, S. McKee","doi":"10.1109/CBMS.2005.57","DOIUrl":"https://doi.org/10.1109/CBMS.2005.57","url":null,"abstract":"GeneGrid is a collaborative industrial R&D project initiated by the Belfast e-Science Centre, under the UK e-Science Programme, with commercial partners involved in the research and development of antibodies and drugs. GeneGrid provides a platform for scientists, especially biologists, to access their collective skills, experiences and results in a secure, reliable and scalable manner through the creation of a 'Virtual Bioinformatics Laboratory'. It enables the seamless integration of a myriad of heterogeneous applications and datasets that span multiple administrative domains and locations across the globe, and present these to the scientist through a simple user friendly interface. This paper presents how the grid services of GeneGrid are involved in the integration of bioinformatics applications as well as in the creation and execution of in silico experiments. A real use case scenario is also presented, involving the identification of novel members belonging to a protein family, for demonstrating the capabilities of GeneGrid.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115793854","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}
{"title":"Medical knowledge morphing: towards case-specific integration of heterogeneous medical knowledge resources","authors":"S. Abidi","doi":"10.1109/CBMS.2005.74","DOIUrl":"https://doi.org/10.1109/CBMS.2005.74","url":null,"abstract":"Clinical decision-making involves an active interplay between various medical knowledge modalities - the spectrum of medical knowledge modalities spanning from tacit knowledge to experiential knowledge to explicit knowledge to data-induced knowledge. The ability to simultaneously access and then integrate multiple knowledge modalities pertaining to a common clinical theme is profound for clinical decision making. In this concept paper we introduce knowledge morphing - a knowledge modeling task that allows the integration of heterogeneous medical knowledge modalities, with respect to a clinical case, to yield a comprehensive knowledge resource for decision-support.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131916165","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}
Massoud Vahabzadeh, Jia-Ling Lin, M. Mezghanni, A. Gupman, J. Schmittner, K. Preston
{"title":"An adaptable assessment generation system for clinical trials complementing human research information system","authors":"Massoud Vahabzadeh, Jia-Ling Lin, M. Mezghanni, A. Gupman, J. Schmittner, K. Preston","doi":"10.1109/CBMS.2005.23","DOIUrl":"https://doi.org/10.1109/CBMS.2005.23","url":null,"abstract":"Computerized testing methods have long been used for presenting clinical questionnaires and are regarded as an efficient and accurate data collection mechanism in human research settings. In order to adapt to the constant addition of new research protocols and incorporate the new data collection forms and questionnaires into our computerized medical information environment, it is necessary to have a solution that requires no modifications to the source code for creating new questionnaires and renders the results in a Web browser-based format that can be seamlessly integrated into our patient records system. In this paper we describe our test and questionnaire system (TQS) that addresses our requirements and provides full-page browser-based assessments. In addition to managing the new questionnaires, TQS seamlessly communicates and incorporates the clinician-generated assessments built on and for a handheld electronic diary system and provides a powerful and user-friendly data extraction mechanism that allows full or selective data export for further analysis. This solution not only employs both a generic building tool and a flexible data model, but also renders the required questionnaires in a Web browser-based environment making it possible for the collected data to become an integral part of our browser-based human research information system. Since its implementation 4 years ago, this system has been used to generate approximately 300 questionnaires at our site and is designed to provide the necessary adaptability and flexibility required for all of the current and potentially a very high percentage of future protocols.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131977573","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}
Winnie Tsang, Andrew Corboy, Ken Lee, D. Raicu, J. Furst
{"title":"Texture-based image retrieval for computerized tomography databases","authors":"Winnie Tsang, Andrew Corboy, Ken Lee, D. Raicu, J. Furst","doi":"10.1109/CBMS.2005.97","DOIUrl":"https://doi.org/10.1109/CBMS.2005.97","url":null,"abstract":"In this paper we propose a content-based image retrieval (CBIR) system for retrieval of normal anatomical regions present in computed tomography (CT) studies of the chest and abdomen. We implement and compare eight similarity measures using local and global cooccurrence texture descriptors. The preliminary results are obtained using a CT database consisting of 344 CT images representing the segmented heart and great vessels, liver, renal and splenic parenchyma, and backbone from two different patients. We evaluate the results with respect to the retrieval precision metric for each of the similarity measures when calculated per organ and overall.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127857088","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}
{"title":"Prediction of type II MODY3 diabetes using backpercolation","authors":"Nawaz Khan, Chukwuemeka A. Ikejiaku, S. Rahman","doi":"10.1109/CBMS.2005.85","DOIUrl":"https://doi.org/10.1109/CBMS.2005.85","url":null,"abstract":"In this study, a neural network based approach is used to predict the presence of Maturity Onset Diabetes type 3, referred as MODY3 type II diabetes mellitus. The study has used backpercolation neural network algorithm to predict the specific genetic mutation that causes the MODY3 type II diabetes mellitus. A set of coded numeric values are assigned for numeric representation of genetic data that are available in public domain repositories. A point mutation is introduced in a portion of the nucleotide for the mutation prediction to train the data set. The study has demonstrated that backpercolation neural network algorithm is useful to train and to predict gene point mutation that leads to MODY3 type II diabetes.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124343352","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}
P. Gómez, Francisco Díaz Pérez, Agustín Álvarez Marquina, Katherine Murphy, C. Lázaro, R. Martínez, M. V. R. Biarge
{"title":"Principal component analysis of spectral perturbation parameters for voice pathology detection","authors":"P. Gómez, Francisco Díaz Pérez, Agustín Álvarez Marquina, Katherine Murphy, C. Lázaro, R. Martínez, M. V. R. Biarge","doi":"10.1109/CBMS.2005.88","DOIUrl":"https://doi.org/10.1109/CBMS.2005.88","url":null,"abstract":"In recent years emphasis has been placed upon the early detection of voice pathologies by using the signal processing of voice to evaluate certain time and spectrum domain parameters which may infer the presence of pathology. The present work is aimed at establishing the suitability of these voice spectral parameters in fixing a clear distinction between pathologic and normophonic voice, and to further classify the specific patient's pathology. Principal component analysis is used in parameter selection. Results for normal and pathological samples will be presented and discussed.","PeriodicalId":119367,"journal":{"name":"18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115130572","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}