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Artificial Intelligence Framework for Automated Facial Asymmetry Detection Using Key-Point Analysis and Neural Networks.

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Title: Artificial Intelligence Framework for Automated Facial Asymmetry Detection Using Key-Point Analysis and Neural Networks.
Authors: Kavousinejad, Shahab1,2, shahabkavousinejad@sbmu.ac.ir, Vazirizadeh, Yasamin2,3, yasivaziri74@gmail.com, Behnaz, Mohammad1,2, m.behnaz@sbmu.ac.ir, Ebadifar, Asghar1,2, ebadifara@gmail.com, Mirmohammadsadeghi, Hoori1,2, hoorimms@yahoo.com
Source: Journal of Imaging Informatics in Medicine; Apr2026, Vol. 39 Issue 2, p1715-1733, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193167810
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Artificial Intelligence Framework for Automated Facial Asymmetry Detection Using Key-Point Analysis and Neural Networks.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Imaging+Informatics+in+Medicine%22">Journal of Imaging Informatics in Medicine</searchLink>; Apr2026, Vol. 39 Issue 2, p1715-1733, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193167810
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      – Type: doi
        Value: 10.1007/s10278-025-01558-8
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 1715
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      – TitleFull: Artificial Intelligence Framework for Automated Facial Asymmetry Detection Using Key-Point Analysis and Neural Networks.
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            NameFull: Kavousinejad, Shahab
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 39
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