Identification research of pulmonary nodules based on PCA and the improved BP neural network
We propose a detective method of pulmonary nodules which is applied to CT image based on PCA and the improved BP neural network. Characteristics of nodules and vascular which are processed by PCA have been obtained, classified by applying the improved BP neural network, selected by competition, reco...
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creator | Fan Linan Hu Xiangli Sun Shenshen Gu Wenjuan |
description | We propose a detective method of pulmonary nodules which is applied to CT image based on PCA and the improved BP neural network. Characteristics of nodules and vascular which are processed by PCA have been obtained, classified by applying the improved BP neural network, selected by competition, recognized by results. Experiment results show that implementation of the recognition model is simple, recognition rate is high, speed of training and recognition is fast, and the trained network has very good classification ability. |
doi_str_mv | 10.1109/ICInfA.2012.6246828 |
format | Conference Proceeding |
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Characteristics of nodules and vascular which are processed by PCA have been obtained, classified by applying the improved BP neural network, selected by competition, recognized by results. Experiment results show that implementation of the recognition model is simple, recognition rate is high, speed of training and recognition is fast, and the trained network has very good classification ability.</description><identifier>ISBN: 9781467322386</identifier><identifier>ISBN: 1467322385</identifier><identifier>EISBN: 9781467322379</identifier><identifier>EISBN: 9781467322362</identifier><identifier>EISBN: 1467322369</identifier><identifier>EISBN: 1467322377</identifier><identifier>DOI: 10.1109/ICInfA.2012.6246828</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biomedical imaging ; Blood vessels ; Computed tomography ; CT image ; Educational institutions ; Lungs ; Neural networks ; PCA ; Principal component analysis ; pulmonary nodules ; the improved BP neural network ; vascular</subject><ispartof>2012 IEEE International Conference on Information and Automation, 2012, p.330-333</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6246828$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6246828$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Fan Linan</creatorcontrib><creatorcontrib>Hu Xiangli</creatorcontrib><creatorcontrib>Sun Shenshen</creatorcontrib><creatorcontrib>Gu Wenjuan</creatorcontrib><title>Identification research of pulmonary nodules based on PCA and the improved BP neural network</title><title>2012 IEEE International Conference on Information and Automation</title><addtitle>ICInfA</addtitle><description>We propose a detective method of pulmonary nodules which is applied to CT image based on PCA and the improved BP neural network. Characteristics of nodules and vascular which are processed by PCA have been obtained, classified by applying the improved BP neural network, selected by competition, recognized by results. Experiment results show that implementation of the recognition model is simple, recognition rate is high, speed of training and recognition is fast, and the trained network has very good classification ability.</description><subject>Biomedical imaging</subject><subject>Blood vessels</subject><subject>Computed tomography</subject><subject>CT image</subject><subject>Educational institutions</subject><subject>Lungs</subject><subject>Neural networks</subject><subject>PCA</subject><subject>Principal component analysis</subject><subject>pulmonary nodules</subject><subject>the improved BP neural network</subject><subject>vascular</subject><isbn>9781467322386</isbn><isbn>1467322385</isbn><isbn>9781467322379</isbn><isbn>9781467322362</isbn><isbn>1467322369</isbn><isbn>1467322377</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkN1KxDAQhSMiKGufYG_yAq35aZPmshZ_Cgsu6KWwpMmEjbZpSVvFt7eye-O5-ThnhmE4CG0pySgl6q6pm-CqjBHKMsFyUbLyAiVKljQXkjPGpbr850txjZJp-iCr1pSK4ga9NxbC7J03evZDwBEm0NEc8eDwuHT9EHT8wWGwSwcTbvUEFq9r-7rCOlg8HwH7fozD15rf73GAJepuxfw9xM9bdOV0N0Fy5ga9Pj681c_p7uWpqatd6hWZ09K0THEnbUGpKRQ3Oi8k54YLyx3juaItYcQJQ_7mRgphmG2NAmBUCsM3aHu66gHgMEbfry8fzo3wX7QHVQY</recordid><startdate>201206</startdate><enddate>201206</enddate><creator>Fan Linan</creator><creator>Hu Xiangli</creator><creator>Sun Shenshen</creator><creator>Gu Wenjuan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201206</creationdate><title>Identification research of pulmonary nodules based on PCA and the improved BP neural network</title><author>Fan Linan ; Hu Xiangli ; Sun Shenshen ; Gu Wenjuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-8cb293f7d511c593ca45733c36d3f23491b020f6c011c5c766c2dbc9ee2176c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Biomedical imaging</topic><topic>Blood vessels</topic><topic>Computed tomography</topic><topic>CT image</topic><topic>Educational institutions</topic><topic>Lungs</topic><topic>Neural networks</topic><topic>PCA</topic><topic>Principal component analysis</topic><topic>pulmonary nodules</topic><topic>the improved BP neural network</topic><topic>vascular</topic><toplevel>online_resources</toplevel><creatorcontrib>Fan Linan</creatorcontrib><creatorcontrib>Hu Xiangli</creatorcontrib><creatorcontrib>Sun Shenshen</creatorcontrib><creatorcontrib>Gu Wenjuan</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fan Linan</au><au>Hu Xiangli</au><au>Sun Shenshen</au><au>Gu Wenjuan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Identification research of pulmonary nodules based on PCA and the improved BP neural network</atitle><btitle>2012 IEEE International Conference on Information and Automation</btitle><stitle>ICInfA</stitle><date>2012-06</date><risdate>2012</risdate><spage>330</spage><epage>333</epage><pages>330-333</pages><isbn>9781467322386</isbn><isbn>1467322385</isbn><eisbn>9781467322379</eisbn><eisbn>9781467322362</eisbn><eisbn>1467322369</eisbn><eisbn>1467322377</eisbn><abstract>We propose a detective method of pulmonary nodules which is applied to CT image based on PCA and the improved BP neural network. Characteristics of nodules and vascular which are processed by PCA have been obtained, classified by applying the improved BP neural network, selected by competition, recognized by results. Experiment results show that implementation of the recognition model is simple, recognition rate is high, speed of training and recognition is fast, and the trained network has very good classification ability.</abstract><pub>IEEE</pub><doi>10.1109/ICInfA.2012.6246828</doi><tpages>4</tpages></addata></record> |
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subjects | Biomedical imaging Blood vessels Computed tomography CT image Educational institutions Lungs Neural networks PCA Principal component analysis pulmonary nodules the improved BP neural network vascular |
title | Identification research of pulmonary nodules based on PCA and the improved BP neural network |
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