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A systematic review of generative artificial intelligence techniques for synthetic medical image datasets: Quality, models, public availability and applications.

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Title: A systematic review of generative artificial intelligence techniques for synthetic medical image datasets: Quality, models, public availability and applications.
Authors: Fu, Xingyue1,2, Li, Xiaoshuang1, Delamare, Eduardo3, Dunn, Adam G.4, Bi, Lei1, lei.bi@sjtu.edu.cn, Kim, Jinman1,2, jinman.kim@sydney.edu.au
Source: Computer Methods & Programs in Biomedicine; Jun2026, Vol. 280, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192904835
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Computer+Methods+%26+Programs+in+Biomedicine%22">Computer Methods & Programs in Biomedicine</searchLink>; Jun2026, Vol. 280, pN.PAG-N.PAG, 1p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.cmpb.2026.109331
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      – Code: eng
        Text: English
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        PageCount: 1
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      – TitleFull: A systematic review of generative artificial intelligence techniques for synthetic medical image datasets: Quality, models, public availability and applications.
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            NameFull: Fu, Xingyue
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            NameFull: Li, Xiaoshuang
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            NameFull: Delamare, Eduardo
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            NameFull: Bi, Lei
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 280
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