| 3D Matrix Pattern Based Support Vector Machines for Identifying Pulmonary Cancer in CT Scanned Images. | |
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MedLine Citation:
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PMID: 20827567 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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A novel algorithm of Three Dimension matrix (3D matrix) pattern based Minimum Within-Class Scatter Support Vector Machines (MCSVMs(3Dmatrix)) is presented. Combining Minimum Within-Class Scatter Support Vector Machines (MCSVMs) and higher-order tensor technology, decision functions of MCSVMs(3Dmatrix) are calculated along with three orthogonal directions in the 3D space. And then the final decision is made by Majority Vote Method. In previous reports, each CT image is solely processed and the relation among successive CT scanned images is neglected. The case results in defective judgment at whiles. The proposed method solves the problem effectively and improves the accuracy of classification to a certain extent. |
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Authors:
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Qing-Zhu Wang; Ke Wang; Xin-Zhu Wang; A-Lin Hou; Yong Li; Bin Wang |
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Publication Detail:
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Type: Journal Article Date: 2010-09-09 |
Journal Detail:
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Title: Journal of medical systems Volume: 36 ISSN: 0148-5598 ISO Abbreviation: J Med Syst Publication Date: 2012 Jun |
Date Detail:
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Created Date: 2012-05-07 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7806056 Medline TA: J Med Syst Country: United States |
Other Details:
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Languages: eng Pagination: 1223-8 Citation Subset: IM |
Affiliation:
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College of Communication Engineering, Jilin University, Changchun, China, chunxuanbingmao@yahoo.cn. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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