27 Deep learning for automated image segmentation of in situ livers from organ retrieval photographs.

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Title: 27 Deep learning for automated image segmentation of in situ livers from organ retrieval photographs.
Authors: Valli, Aashobanaa Duraisaminathan, Kourounis, Georgios, Elmahmudi, Ali Ahmed, Thomson, Brian, Tingle, Samuel J, Mahendran, Balaji, Thompson, Emily, Hunter, James, Ugail, Hassan, Wilson, Colin
Source: The British journal of surgery 2025 Supplement.
Journal Info: Publisher: Oxford University Press / USA ISSN: 0007-1323
Database: MEDLINE Ultimate
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Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: EPTOC183846261
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: 27 Deep learning for automated image segmentation of in situ livers from organ retrieval photographs.
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  Data: <searchLink fieldCode="JN" term="%220372553%22">The British journal of surgery</searchLink> 2025 Supplement.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press+%2F+USA%22">Oxford University Press / USA </searchLink><i>ISSN: </i>0007-1323
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/bjs/znaf042.053
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      – Code: eng
        Text: English
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      Pagination:
        StartPage: 1
    Titles:
      – TitleFull: 27 Deep learning for automated image segmentation of in situ livers from organ retrieval photographs.
        Type: main
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            NameFull: Valli, Aashobanaa Duraisaminathan
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            NameFull: Kourounis, Georgios
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            NameFull: Elmahmudi, Ali Ahmed
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            NameFull: Thomson, Brian
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            NameFull: Tingle, Samuel J
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            NameFull: Mahendran, Balaji
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            NameFull: Thompson, Emily
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            NameFull: Hunter, James
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            NameFull: Ugail, Hassan
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            – D: 02
              M: 03
              Text: 2025 Supplement
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 1365-2168
          Titles:
            – TitleFull: The British journal of surgery
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