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BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification.

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Title: BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification.
Authors: Ajmal, Muhammad1, Khan, Muhammad Attique2, attique@ciitwah.edu.pk, Akram, Tallha1, Alqahtani, Abdullah3, Alhaisoni, Majed4, Armghan, Ammar5, aarmghan@ju.edu.sa, Althubiti, Sara A.6, Alenezi, Fayadh5
Source: Neural Computing & Applications; Oct2023, Vol. 35 Issue 30, p22115-22131, 17p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification.
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Oct2023, Vol. 35 Issue 30, p22115-22131, 17p
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      – Type: doi
        Value: 10.1007/s00521-022-08084-6
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      – Code: eng
        Text: English
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        StartPage: 22115
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      – TitleFull: BF2SkNet: best deep learning features fusion-assisted framework for multiclass skin lesion classification.
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            NameFull: Ajmal, Muhammad
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            NameFull: Alhaisoni, Majed
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            NameFull: Armghan, Ammar
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              Text: Oct2023
              Type: published
              Y: 2023
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              Value: 30
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            – TitleFull: Neural Computing & Applications
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