Towards hybrid approach based SVM and Radiomics features for COVID-19 classification and segmentation.

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Title: Towards hybrid approach based SVM and Radiomics features for COVID-19 classification and segmentation.
Authors: Azizi, Ridha1, azizi_ridha@yahoo.fr, Sakly, Houneida2,3, Wajdi, Abdallah Ahmed4, Hmida, Alaa Eddinne Ben4, Bouhlel, Med Salim1
Source: International Journal of Hybrid Intelligent Systems; 2024, Vol. 20 Issue 3, p223-242, 20p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 180404228
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  Data: Towards hybrid approach based SVM and Radiomics features for COVID-19 classification and segmentation.
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  Data: <searchLink fieldCode="AU" term="%22Azizi%2C+Ridha%22">Azizi, Ridha</searchLink><relatesTo>1</relatesTo>, <i>azizi_ridha@yahoo.fr</i><br /><searchLink fieldCode="AU" term="%22Sakly%2C+Houneida%22">Sakly, Houneida</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Wajdi%2C+Abdallah+Ahmed%22">Wajdi, Abdallah Ahmed</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Hmida%2C+Alaa+Eddinne+Ben%22">Hmida, Alaa Eddinne Ben</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Bouhlel%2C+Med+Salim%22">Bouhlel, Med Salim</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Hybrid+Intelligent+Systems%22">International Journal of Hybrid Intelligent Systems</searchLink>; 2024, Vol. 20 Issue 3, p223-242, 20p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180404228
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        Value: 10.3233/HIS-240027
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 223
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      – TitleFull: Towards hybrid approach based SVM and Radiomics features for COVID-19 classification and segmentation.
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            NameFull: Azizi, Ridha
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            NameFull: Sakly, Houneida
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            NameFull: Wajdi, Abdallah Ahmed
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            NameFull: Hmida, Alaa Eddinne Ben
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            – D: 01
              M: 09
              Text: 2024
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              Y: 2024
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