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Weighted fuzzy clustering approach with adaptive spatial information and Kullback–Leibler divergence for skin lesion segmentation.

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Title: Weighted fuzzy clustering approach with adaptive spatial information and Kullback–Leibler divergence for skin lesion segmentation.
Authors: Kumari, Pinki1, pinkik92_scs@jnu.ac.in, Agrawal, R. K.1, rkajnu@gmail.com, Priya, Aditi1, aditi48_scs@jnu.ac.in
Source: International Journal of Machine Learning & Cybernetics; Aug2025, Vol. 16 Issue 7/8, p5317-5337, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186986210
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186986210
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s13042-025-02575-3
    Languages:
      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 5317
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      – TitleFull: Weighted fuzzy clustering approach with adaptive spatial information and Kullback–Leibler divergence for skin lesion segmentation.
        Type: main
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            NameFull: Kumari, Pinki
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            NameFull: Agrawal, R. K.
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            NameFull: Priya, Aditi
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          Dates:
            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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              Value: 18688071
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              Value: 16
            – Type: issue
              Value: 7/8
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            – TitleFull: International Journal of Machine Learning & Cybernetics
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