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Automated Segmentation and Analysis of Histopathological Breast Cancer Images for Enhanced IDC Diagnosis and Assessment Using MobileNetV2+U‐Net With Label Propagation.

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Title: Automated Segmentation and Analysis of Histopathological Breast Cancer Images for Enhanced IDC Diagnosis and Assessment Using MobileNetV2+U‐Net With Label Propagation.
Authors: Inamdar, Vijaylaxmi1 (AUTHOR), Shaila, S. G.2 (AUTHOR) shaila-cse@dsu.edu.in, Ribeiro, Ivana (AUTHOR) ileao@ucm.cl
Source: International Journal of Breast Cancer. 1/31/2026, Vol. 2026, p1-23. 23p.
Database: Academic Search Ultimate
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  Data: Automated Segmentation and Analysis of Histopathological Breast Cancer Images for Enhanced IDC Diagnosis and Assessment Using MobileNetV2+U‐Net With Label Propagation.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Breast+Cancer%22">International Journal of Breast Cancer</searchLink>. 1/31/2026, Vol. 2026, p1-23. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194052069
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/ijbc/5948413
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 23
        StartPage: 1
    Titles:
      – TitleFull: Automated Segmentation and Analysis of Histopathological Breast Cancer Images for Enhanced IDC Diagnosis and Assessment Using MobileNetV2+U‐Net With Label Propagation.
        Type: main
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            NameFull: Inamdar, Vijaylaxmi
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            NameFull: Shaila, S. G.
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            NameFull: Ribeiro, Ivana
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            – D: 31
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              Text: 1/31/2026
              Type: published
              Y: 2026
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              Value: 2026
          Titles:
            – TitleFull: International Journal of Breast Cancer
              Type: main
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