COVIDPRO-NET: a prognostic tool to detect COVID 19 patients from lung X-ray and CT images using transfer learning and Q-deformed entropy.

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Title: COVIDPRO-NET: a prognostic tool to detect COVID 19 patients from lung X-ray and CT images using transfer learning and Q-deformed entropy.
Authors: R, Vijay1, Kumar, Abhishek2, Kumar, Ankit3, Ashok Kumar, V D4, K, Rajeshkumar5, Kumar, V D Ambeth5, dr.vdambethkumar@gmail.com, Jilani Saudagar, Abdul Khader6, A, Abirami7
Source: Journal of Experimental & Theoretical Artificial Intelligence; May2023, Vol. 35 Issue 4, p473-488, 16p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 163249572
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Experimental+%26+Theoretical+Artificial+Intelligence%22">Journal of Experimental & Theoretical Artificial Intelligence</searchLink>; May2023, Vol. 35 Issue 4, p473-488, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=163249572
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1080/0952813X.2021.1949755
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 473
    Titles:
      – TitleFull: COVIDPRO-NET: a prognostic tool to detect COVID 19 patients from lung X-ray and CT images using transfer learning and Q-deformed entropy.
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            NameFull: R, Vijay
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            NameFull: Kumar, Abhishek
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            NameFull: Kumar, Ankit
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            NameFull: Ashok Kumar, V D
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            NameFull: K, Rajeshkumar
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            NameFull: Kumar, V D Ambeth
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            NameFull: Jilani Saudagar, Abdul Khader
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            NameFull: A, Abirami
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            – D: 01
              M: 05
              Text: May2023
              Type: published
              Y: 2023
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              Value: 35
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            – TitleFull: Journal of Experimental & Theoretical Artificial Intelligence
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