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CorLabelNet: a comprehensive framework for multi-label chest X-ray image classification with correlation guided discriminant feature learning and oversampling.

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Title: CorLabelNet: a comprehensive framework for multi-label chest X-ray image classification with correlation guided discriminant feature learning and oversampling.
Authors: Zhang, Kai1,2, Liang, Wei1,2, Cao, Peng1,2, caopeng@cse.neu.edu.cn, Mao, Zhaoyang1,2, Yang, Jinzhu1,2, Zaiane, Osmar R.3
Source: Medical & Biological Engineering & Computing; Apr2025, Vol. 63 Issue 4, p1045-1058, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 184038525
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PubType: Academic Journal
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  Data: CorLabelNet: a comprehensive framework for multi-label chest X-ray image classification with correlation guided discriminant feature learning and oversampling.
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  Data: <searchLink fieldCode="JN" term="%22Medical+%26+Biological+Engineering+%26+Computing%22">Medical & Biological Engineering & Computing</searchLink>; Apr2025, Vol. 63 Issue 4, p1045-1058, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=184038525
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11517-024-03247-0
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1045
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      – TitleFull: CorLabelNet: a comprehensive framework for multi-label chest X-ray image classification with correlation guided discriminant feature learning and oversampling.
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            NameFull: Zhang, Kai
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            NameFull: Liang, Wei
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            NameFull: Cao, Peng
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            NameFull: Mao, Zhaoyang
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            NameFull: Yang, Jinzhu
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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              Value: 63
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