M. Slaymaker, A. Simpson, M. Brady, D. Gavaghan, F. Reddington, P. Quirke
{"title":"A Prototype Infrastructure for the Secure Aggregation of Imaging and Pathology Data for Colorectal Cancer Care","authors":"M. Slaymaker, A. Simpson, M. Brady, D. Gavaghan, F. Reddington, P. Quirke","doi":"10.1109/CBMS.2006.24","DOIUrl":"https://doi.org/10.1109/CBMS.2006.24","url":null,"abstract":"In recent years, a significant number of developments across a broad range of disciplines have allowed researchers and clinicians to start to build up a picture of cancer development. In this paper we report upon the development of a prototype of a secure distributed infrastructure that links imaging data from pathology and radiology. The intention is that a fully-developed system will be capable of supporting studies that will examine whether prognostic and diagnostic features which are apparent in histopathological sections and clinical scans are related. Further, these studies will consider whether these features can be meaningfully linked into a diagnostic or predictive profile. The project in which the prototype is being developed naturally involves a large degree of cooperation across various disciplines. The focus of this paper is primarily on the development of the underlying prototype infrastructure","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130834448","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":"Switched Lightpaths for e-Health Applications: a Feasibility Study","authors":"L. Momtahan, A. Simpson","doi":"10.1109/CBMS.2006.151","DOIUrl":"https://doi.org/10.1109/CBMS.2006.151","url":null,"abstract":"The exploitation of switch lightpaths for e-science applications (ESLEA) project is evaluating the feasibility of using switched lightpath networks to support various e-science applications, with this feasibility being investigated through a number of case studies. In this paper we report on progress to date with respect to determining how such networks might be utilised to support distributed healthcare applications. In particular, we consider the context of the work undertaken, introduce our use cases, and discuss some of the challenges faced","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"30 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131085052","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":"Automatic Classification System for Lumbar Spine X-ray Images","authors":"Soontharee Koompairojn, K. Hua, Chutima Bhadrakom","doi":"10.1109/CBMS.2006.54","DOIUrl":"https://doi.org/10.1109/CBMS.2006.54","url":null,"abstract":"Existing computer-based spinal stenosis diagnosis systems are not fully automatic. Their performance depends on the knowledge and experience of the user. Such a system is typically intended for specialists such as radiologists. We present in this paper a fully automatic system, more suitable for general practitioners for use in screening and initial diagnosis. To evaluate the performance of the proposed techniques, we build a system prototype with two environments - one for managing training images and building the classifiers, and the other environment for diagnosis use in practice. Our experimental results, based on an X-ray image database NHANES II available from the National Library of Medicine, indicates that the proposed system is effective for screening purposes","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121618239","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":"Relevance Feedback Query Refinement for PDF Medical Journal Articles","authors":"A. Christiansen, D. J. Lee","doi":"10.1109/CBMS.2006.140","DOIUrl":"https://doi.org/10.1109/CBMS.2006.140","url":null,"abstract":"This paper addresses relevance feedback as an alternative to keyword-based search engines for sifting through large PDF document collections and extracting the most relevant documents (especially for literature review purposes). Until now, relevance feedback has only been used in content-based image and video retrieval due to the inability to query those media types without keywords. Since PDF journal articles contain many valuable non-keyword features such as structure and formatting information as well as embedded figures, they would benefit from relevance feedback. Stripping a PDF into \"full-text\" for indexing purposes disregards these important features. We discuss how they can be used to our advantage and look to integrate the wealth of knowledge from relevance feedback text-based information retrieval. We argue for the benefits of placing the burden of relevance judgement on the user rather than the retrieval system and present alternative document views that quickly allow the user to deem relevance","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126257093","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 Image Registration and Fusion with 3D CT and MR Data of Head","authors":"Chih-Hua Huang, Ching-Fen Jiang, W. Sung","doi":"10.1109/CBMS.2006.114","DOIUrl":"https://doi.org/10.1109/CBMS.2006.114","url":null,"abstract":"The purpose of this study is to register the 3D image from computed tomography (CT) and magnetic resonance (MR) and therefore to integrate the information of hard and soft tissue. The slices with maximum areas detected from both 3D data sets were used as the corresponding slices to calculate the parameters of scale, rotation and translation for 3D data registration and fusion. The registered volume data were then visualized by the shell rendering method and the target contours, including the face and brain, were reconstructed by the surface rendering. The result of shell rendering can not only provide complete and integrated information of the combined image data in terms of 3D visualization but also reveal the 2D plane in any orientation. The 3D contours obtained by surface rendering can transformed into VRML format for any virtual reality applications","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125263096","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":"Enhancing Wireless Patient Monitoring by Integrating Stored and Live Patient Information","authors":"U. Varshney","doi":"10.1109/CBMS.2006.84","DOIUrl":"https://doi.org/10.1109/CBMS.2006.84","url":null,"abstract":"Patient monitoring using wireless technologies has been considered for improving the quality of healthcare to an increased number of patients, including those suffering from physical and cognitive disabilities. For such patients, comprehensive and reliable wireless patient monitoring system should be designed that can operate autonomously. In this paper, we propose that comprehensive patient monitoring should involve the use of stored healthcare information and transmission of live vital signs. In simple terms, the use of stored knowledge (such as nominal vital signs and patient's individual thresholds) could compensate for the limited resources of underlying wireless networks, especially under times of significant traffic. This will allow the delivery of patient related information to one of more healthcare professionals in reasonable time as the traffic per monitoring event is reduced. To enhance the quality of patient monitoring, we present reliable wireless architecture and propose that context-awareness should be utilized in the healthcare delivery decision","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114291388","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":"Optimization in a Health Care System: a Liver Transplantation Example","authors":"Gustavo da Gama Torres, R. Ferreira, H. Luna","doi":"10.1109/CBMS.2006.124","DOIUrl":"https://doi.org/10.1109/CBMS.2006.124","url":null,"abstract":"This text presents a study in modeling a waiting list of liver transplantation, and the use of the resources that affects the system efficiency. The approach uses the graph theory to modeling the system as a workflow. The objective is to know how the system is, and how it will work after changing some parameters. The focus is the planning and the system management. The work encloses aspects of knowledge representation and optimization. An experiment is described and some conclusions are extracted","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122017526","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":"Comparison of the Data-based and Gene Ontology-Based Approaches to Cluster Validation Methods for Gene Microarrays","authors":"N. Bolshakova, Anton Zamolotskikh, P. Cunningham","doi":"10.1109/CBMS.2006.69","DOIUrl":"https://doi.org/10.1109/CBMS.2006.69","url":null,"abstract":"The paper presents a comparison of the data-based and gene ontology (GO)-based approaches to cluster validation methods for gene microarray analysis. We apply a homogeneous approach to obtaining metrics from different GO-based similarity measures and a normalization of validation index values, that allows us to compare them to each other as well as to data-based validation indices. The results show strong correlation between both GO-based and data-based validation indices. The results suggest that this may represent an effective tool to support biomedical knowledge discovery tasks based on gene expression data","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"44 21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114993358","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":"Computer-Aided Evaluation of Protein Expression in Pathological Tissue Images","authors":"E. Ficarra, E. Macii, G. Micheli, L. Benini","doi":"10.1109/CBMS.2006.71","DOIUrl":"https://doi.org/10.1109/CBMS.2006.71","url":null,"abstract":"This work presents the first fully-automated computer-aided analysis approach to the quantification of the expression of receptors for the non-small cell lung carcinoma. This immunohistochemical analysis is usually performed by pathologists via visual inspection of tissue samples images. Our techniques streamlines this error-prone and time-consuming process, thereby facilitating analysis and diagnosis. Experimental results on several real-life datasets demonstrate the high quantitative precision of our approach","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123587471","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}
J. Kléma, Arnaud Soulet, B. Crémilleux, Sylvain Blachon, O. Gandrillon
{"title":"Mining Plausible Patterns from Genomic Data","authors":"J. Kléma, Arnaud Soulet, B. Crémilleux, Sylvain Blachon, O. Gandrillon","doi":"10.1109/CBMS.2006.116","DOIUrl":"https://doi.org/10.1109/CBMS.2006.116","url":null,"abstract":"The discovery of biologically interpretable knowledge from gene expression data is one of the largest contemporary genomic challenges. As large volumes of expression data are being generated, there is a great need for automated tools that provide the means to analyze them. However, the same tools can provide an overwhelming number of candidate hypotheses which can hardly be manually exploited by an expert. An additional knowledge helping to focus automatically on the most plausible candidates only can up-value the experiment significantly. Background knowledge available in literature databases, biological ontologies and other sources can be used for this purpose. In this paper we propose and verify a methodology that enables to effectively mine and represent meaningful over-expression patterns. Each pattern represents a bi-set of a gene group over-expressed in a set of biological situations. The originality of the framework consists in its constraint-based nature and an effective cross-fertilization of constraints based on expression data and background knowledge. The result is a limited set of candidate patterns that are most likely interpretable by biologists. Supplemental automatic interpretations serve to ease this process. Various constraints can generate plausible pattern sets of different characteristics","PeriodicalId":208693,"journal":{"name":"19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123163429","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}