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A systematic literature review on pancreas segmentation from traditional to non-supervised techniques in abdominal medical images.

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Title: A systematic literature review on pancreas segmentation from traditional to non-supervised techniques in abdominal medical images.
Authors: Jain, Suchi1, suchij.cs.22@nitj.ac.in, Sikka, Geeta2, Dhir, Renu1
Source: Artificial Intelligence Review; Dec2024, Vol. 57 Issue 12, p1-65, 65p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180215144
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A systematic literature review on pancreas segmentation from traditional to non-supervised techniques in abdominal medical images.
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Dec2024, Vol. 57 Issue 12, p1-65, 65p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=180215144
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      – Type: doi
        Value: 10.1007/s10462-024-10966-1
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      – Code: eng
        Text: English
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        PageCount: 65
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      – TitleFull: A systematic literature review on pancreas segmentation from traditional to non-supervised techniques in abdominal medical images.
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            NameFull: Jain, Suchi
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            NameFull: Sikka, Geeta
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            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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            – TitleFull: Artificial Intelligence Review
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