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Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization最新文献

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A systematic analysis and review of COVID-19 detection techniques using CT image 新冠肺炎CT图像检测技术的系统分析与综述
IF 1.6
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-06-08 DOI: 10.1080/21681163.2023.2219750
J. Ameera Beegom, T. Brindha
{"title":"A systematic analysis and review of COVID-19 detection techniques using CT image","authors":"J. Ameera Beegom, T. Brindha","doi":"10.1080/21681163.2023.2219750","DOIUrl":"https://doi.org/10.1080/21681163.2023.2219750","url":null,"abstract":"","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"66 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89576122","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
Cancer prognosis with machine learning-based modified meta-heuristics and weighted gradient boosting algorithm 基于机器学习的修正元启发式和加权梯度增强算法的癌症预后
IF 1.6
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-06-05 DOI: 10.1080/21681163.2023.2219772
P. Saranya, P. Asha
{"title":"Cancer prognosis with machine learning-based modified meta-heuristics and weighted gradient boosting algorithm","authors":"P. Saranya, P. Asha","doi":"10.1080/21681163.2023.2219772","DOIUrl":"https://doi.org/10.1080/21681163.2023.2219772","url":null,"abstract":"","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"22 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87202417","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
Detection and classification of COVID-19 disease using SWHO-based deep neural network classifier 基于sho的深度神经网络分类器对COVID-19疾病的检测与分类
IF 1.6
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-06-05 DOI: 10.1080/21681163.2023.2219767
Vanshika Rastogi, A. Jain
{"title":"Detection and classification of COVID-19 disease using SWHO-based deep neural network classifier","authors":"Vanshika Rastogi, A. Jain","doi":"10.1080/21681163.2023.2219767","DOIUrl":"https://doi.org/10.1080/21681163.2023.2219767","url":null,"abstract":"","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"1 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87767571","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
Brain tumor classification based on deep CNN and modified butterfly optimization algorithm 基于深度CNN和改进蝴蝶优化算法的脑肿瘤分类
IF 1.6
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-06-02 DOI: 10.1080/21681163.2023.2219754
Dr.Vinodkumar Jacob, G. Sagar, Kavita Goura, P. S. S. Pedalanka
{"title":"Brain tumor classification based on deep CNN and modified butterfly optimization algorithm","authors":"Dr.Vinodkumar Jacob, G. Sagar, Kavita Goura, P. S. S. Pedalanka","doi":"10.1080/21681163.2023.2219754","DOIUrl":"https://doi.org/10.1080/21681163.2023.2219754","url":null,"abstract":"","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"13 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74161109","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
Deep learning for few-shot white blood cell image classification and feature learning 基于深度学习的少量白细胞图像分类与特征学习
IF 1.6
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2023-06-01 DOI: 10.1080/21681163.2023.2219341
Yixiang Deng, He Li
{"title":"Deep learning for few-shot white blood cell image classification and feature learning","authors":"Yixiang Deng, He Li","doi":"10.1080/21681163.2023.2219341","DOIUrl":"https://doi.org/10.1080/21681163.2023.2219341","url":null,"abstract":"","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"43 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81621671","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
New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering 生物力学和生物医学工程中计算方法和成像的新进展
IF 1.6
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2019-07-01 DOI: 10.1007/978-3-030-23073-9
J. Tavares, P. Fernandes, F. Engenharia
{"title":"New Developments on Computational Methods and Imaging in Biomechanics and Biomedical Engineering","authors":"J. Tavares, P. Fernandes, F. Engenharia","doi":"10.1007/978-3-030-23073-9","DOIUrl":"https://doi.org/10.1007/978-3-030-23073-9","url":null,"abstract":"","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"27 1","pages":""},"PeriodicalIF":1.6,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84840892","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
Interactive Exploration of Medical Data Sets 医疗数据集的交互式探索
IF 1.6
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2008-07-09 DOI: 10.1109/MEDIVIS.2008.13
H. Muller, K. Zatloukal, M. Streit, D. Schmalstieg
{"title":"Interactive Exploration of Medical Data Sets","authors":"H. Muller, K. Zatloukal, M. Streit, D. Schmalstieg","doi":"10.1109/MEDIVIS.2008.13","DOIUrl":"https://doi.org/10.1109/MEDIVIS.2008.13","url":null,"abstract":"This paper describes an interactive data exploration system for molecular and clinical data in the field of personalized medicine. It addresses the essential but to date unsolved problem of how to identify connections between genetic variants and their corresponding diseases or the response to certain drugs and treatments, respectively. It is therefore necessary to connect genetic with clinical data in order to categorize specific subgroups of patients with certain disease features. The huge amount of data provided by molecular analytical methods (e.g. data on genetic alterations, proteomic or metabolomic data) can only be analyzed by applying statistical methods and bioinformatics. However, even standard methods of statistics and bioinformatics fail when the data is inhomogeneous - as is the case with clinical data - and when data structures are obscured by noise and dominant patterns. The structure of large medical data sets is made visible by using so called object- and attribute-glyphs, which can be arranged in a two dimensional space and synchronized with a set of visualization views.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"10 1","pages":"29-35"},"PeriodicalIF":1.6,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87363448","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: 6
Visualizing the Gene Ontology-Annotated Clusters of Co-expressed Genes: A Two-Design Study 可视化基因本体-共表达基因的注释簇:一项双设计研究
IF 1.6
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2008-07-09 DOI: 10.1109/MEDIVIS.2008.9
D. Fung, Seok-Hee Hong, Kai Xu, D. Hart
{"title":"Visualizing the Gene Ontology-Annotated Clusters of Co-expressed Genes: A Two-Design Study","authors":"D. Fung, Seok-Hee Hong, Kai Xu, D. Hart","doi":"10.1109/MEDIVIS.2008.9","DOIUrl":"https://doi.org/10.1109/MEDIVIS.2008.9","url":null,"abstract":"In molecular biology, Gene Ontology (GO) has often been used for annotation and as a data mining dimension. A frequently performed step in microarray analytics is the clustering of co-expressed genes by their GO bioprocesses. Biological deductions are then made from the visual representation of the cluster pattern. Thus far, the question of how different representations of GO-annotated clusters affect biological interpretation and usability has not been investigated. In this paper, we evaluated two representations of GO-annotated clusters of co-expressed genes. Using a published cDNA microarray dataset, we tested the effect of each representation on biological interpretation. We also reported the results of the user evaluation conducted with bench biologists from different areas of expertise. Our study suggests that the bipartite graph may be more suitable for microarray analytics.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"11 1","pages":"9-14"},"PeriodicalIF":1.6,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87521309","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
Visualizing Domain Interaction Networks and the Impact of Alternative Splicing Events 可视化领域交互网络和可选剪接事件的影响
IF 1.6
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2008-07-09 DOI: 10.1109/MEDIVIS.2008.16
D. Emig, K. Klein, A. Kunert, Petra Mutzel, M. Albrecht
{"title":"Visualizing Domain Interaction Networks and the Impact of Alternative Splicing Events","authors":"D. Emig, K. Klein, A. Kunert, Petra Mutzel, M. Albrecht","doi":"10.1109/MEDIVIS.2008.16","DOIUrl":"https://doi.org/10.1109/MEDIVIS.2008.16","url":null,"abstract":"In recent years, comprehensive studies of protein and domain networks have produced large amounts of interaction data. Further work has revealed that alternative splicing is a major cause of the observed protein and interaction diversity. Special microarrays now allow for measuring gene expression at the exon level, which enables the identification of alternative splicing events. We developed the Cytoscape plugin DomainGraph that facilitates the construction and visualization of protein and domain interaction networks. This plugin additionally supports the integration of exon expression data to highlight the effects of alternative splicing on the networks. We also designed and implemented a radial layout algorithm that specifically takes the integrated biological information for the networks into account and improves the visual presentation of the protein domain graphs considerably.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"41 1","pages":"36-43"},"PeriodicalIF":1.6,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87115412","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
3D Visualisation of the Radiological Features of Type II Collagenopathies Associated with Skeletal Dysplasias 与骨骼发育不良相关的II型胶原病变放射学特征的三维可视化
IF 1.6
Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization Pub Date : 2008-07-09 DOI: 10.1109/MEDIVIS.2008.19
T. Wyeld, A. Zankl
{"title":"3D Visualisation of the Radiological Features of Type II Collagenopathies Associated with Skeletal Dysplasias","authors":"T. Wyeld, A. Zankl","doi":"10.1109/MEDIVIS.2008.19","DOIUrl":"https://doi.org/10.1109/MEDIVIS.2008.19","url":null,"abstract":"Preceding this report, a proof-of-concept pilot study was conducted on the REAMS database. The REAMS database associates skeletal dysplasia (SD) and their conditions, clinical and radiographic features, with exemplar X-ray images. This study reports on the 3D visualisation of the interconnectedness of the various terms used in the REAMS database. Preliminary results show predictable clustering and outliers based on shared common terms. In 1994 Spranger et al. reported on the identification of the 6 type II collagenopathy conditions associated with SDs. To test the accuracy and usefulness of our 3D visualisation of the REAMS database the 6 known type II collagenopathies were colour coded to distinguish their location within the larger database. Distinct clustering was detected. However, we also discovered 10 non type II collagenopathy conditions that share 2 or more common clinical and/or radiographic features with at least 1 of the 6 known type II collagenopathy conditions. This result confirms and quantifies the clinical radiographical overlap among the type II collagenopathies as originally predicted by Spranger et al.","PeriodicalId":51800,"journal":{"name":"Computer Methods in Biomechanics and Biomedical Engineering-Imaging and Visualization","volume":"4 1","pages":"53-56"},"PeriodicalIF":1.6,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87831847","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
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