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A Hybrid Swin Transformer and EfficientNetB2‐Based Framework for Automated ROP Detection in Premature Infants.

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Title: A Hybrid Swin Transformer and EfficientNetB2‐Based Framework for Automated ROP Detection in Premature Infants.
Authors: Cai, Ruoyao1, Li, Jiaxuan1, Wang, Fangzhou2, Li, Xiaoya1, Guo, Jiaming3, Dai, Jie4, jiedaij@outlook.com, Shen, Yingshan1
Source: International Journal of Imaging Systems & Technology; Sep2025, Vol. 35 Issue 5, p1-16, 16p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188295078
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Hybrid Swin Transformer and EfficientNetB2‐Based Framework for Automated ROP Detection in Premature Infants.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Imaging+Systems+%26+Technology%22">International Journal of Imaging Systems & Technology</searchLink>; Sep2025, Vol. 35 Issue 5, p1-16, 16p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188295078
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1002/ima.70191
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 1
    Titles:
      – TitleFull: A Hybrid Swin Transformer and EfficientNetB2‐Based Framework for Automated ROP Detection in Premature Infants.
        Type: main
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          Name:
            NameFull: Cai, Ruoyao
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            NameFull: Li, Jiaxuan
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            NameFull: Wang, Fangzhou
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            NameFull: Li, Xiaoya
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            NameFull: Guo, Jiaming
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            NameFull: Dai, Jie
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            NameFull: Shen, Yingshan
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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              Value: 35
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            – TitleFull: International Journal of Imaging Systems & Technology
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