Research on lung nodule recognition algorithm based on deep feature fusion and MKL-SVM-IPSO
Research on lung nodule recognition algorithm based on deep feature fusion and MKL-SVM-IPSO
About this item
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Author / Creator
Li, Yang , Zheng, Hewei , Huang, Xiaoyu , Chang, Jiayue , Hou, Debiao and Lu, Huimin
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
Lung CAD system can provide auxiliary third-party opinions for doctors, improve the accuracy of lung nodule recognition. The selection and fusion of nodule features and the advancement of recognition algorithms are crucial improving lung CAD systems. Based on the HDL model, this paper mainly focuses on the three key algorithms of feature extraction...
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Full title
Research on lung nodule recognition algorithm based on deep feature fusion and MKL-SVM-IPSO
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_1c46cbe3898c49b984ff6041c9b7d1f5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1c46cbe3898c49b984ff6041c9b7d1f5
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-22442-3
