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An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach.

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Title: An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach.
Authors: Elayaraja, P.1, Kumarganesh, S.2, Martin Sagayam, K.3, Dang, Hien4,5, hiendt@tlu.edu.vn, Pomplun, Marc5
Source: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 43 Issue 1, p1023-1033, 11p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 157790777
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>; 2022, Vol. 43 Issue 1, p1023-1033, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=157790777
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3233/JIFS-212871
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 1023
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      – TitleFull: An efficient approach for detection and classification of cancer regions in cervical images using optimization based CNN classification approach.
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            NameFull: Elayaraja, P.
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            NameFull: Kumarganesh, S.
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            NameFull: Martin Sagayam, K.
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            NameFull: Dang, Hien
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              M: 07
              Text: 2022
              Type: published
              Y: 2022
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              Value: 43
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            – TitleFull: Journal of Intelligent & Fuzzy Systems
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