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Evaluating automatic label noise detection in 3D segmentation with realistic label noise.

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Title: Evaluating automatic label noise detection in 3D segmentation with realistic label noise.
Authors: Mazur, Andreas1, amazur@techfak.uni-bielefeld.de, Roberts, Isaac1, iroberts@techfak.uni-bielefeld.de, Leins, David P.1, dleins@techfak.de, Schulz, Alexander1, aschulz@techfak.uni-bielefeld.de, Hammer, Barbara1, bhammer@techfak.uni-bielefeld.de
Source: Neurocomputing; Jul2026, Vol. 684, 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: 193288263
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Evaluating automatic label noise detection in 3D segmentation with realistic label noise.
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>; Jul2026, Vol. 684, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193288263
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.neucom.2026.133587
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Evaluating automatic label noise detection in 3D segmentation with realistic label noise.
        Type: main
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            NameFull: Mazur, Andreas
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            NameFull: Roberts, Isaac
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            NameFull: Leins, David P.
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            NameFull: Schulz, Alexander
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            NameFull: Hammer, Barbara
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          Dates:
            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 09252312
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              Value: 684
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            – TitleFull: Neurocomputing
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