Domain generalisation challenges in breast cancer molecular classification using foundation models: a cross-cohort exploratory study.

Saved in:
Bibliographic Details
Title: Domain generalisation challenges in breast cancer molecular classification using foundation models: a cross-cohort exploratory study.
Authors: Fernandez-Romero J; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain., Ramos-Berciano P; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain., Perez-Perez M; Department of Normal and Pathological Cytology and Histology, Faculty of Medicine, University of Seville, Av. Doctor Fadriani s/n, 41009, Seville, Andalusia, Spain., Benavides D; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain., Robles-Frias A; UGC Pathology, Hospital Universitario Virgen de Valme, Ctra. de Cádiz Km. 548, 41004, Seville, Andalusia, Spain., Garcia-Gutierrez J; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain. jorgarcia@us.es., Macias-Garcia L; Department of Normal and Pathological Cytology and Histology, Faculty of Medicine, University of Seville, Av. Doctor Fadriani s/n, 41009, Seville, Andalusia, Spain.
Source: Medical & biological engineering & computing [Med Biol Eng Comput] 2026 Jun; Vol. 64 (6), pp. 2321-2331. Date of Electronic Publication: 2026 May 11.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42113320
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Domain generalisation challenges in breast cancer molecular classification using foundation models: a cross-cohort exploratory study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Fernandez-Romero+J%22">Fernandez-Romero J</searchLink>; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain.<br /><searchLink fieldCode="AU" term="%22Ramos-Berciano+P%22">Ramos-Berciano P</searchLink>; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain.<br /><searchLink fieldCode="AU" term="%22Perez-Perez+M%22">Perez-Perez M</searchLink>; Department of Normal and Pathological Cytology and Histology, Faculty of Medicine, University of Seville, Av. Doctor Fadriani s/n, 41009, Seville, Andalusia, Spain.<br /><searchLink fieldCode="AU" term="%22Benavides+D%22">Benavides D</searchLink>; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain.<br /><searchLink fieldCode="AU" term="%22Robles-Frias+A%22">Robles-Frias A</searchLink>; UGC Pathology, Hospital Universitario Virgen de Valme, Ctra. de Cádiz Km. 548, 41004, Seville, Andalusia, Spain.<br /><searchLink fieldCode="AU" term="%22Garcia-Gutierrez+J%22">Garcia-Gutierrez J</searchLink>; Department of Computer Languages and Systems, ETSII, University of Seville, Av. Reina Mercedes s/n, 41012, Seville, Andalusia, Spain. jorgarcia@us.es.<br /><searchLink fieldCode="AU" term="%22Macias-Garcia+L%22">Macias-Garcia L</searchLink>; Department of Normal and Pathological Cytology and Histology, Faculty of Medicine, University of Seville, Av. Doctor Fadriani s/n, 41009, Seville, Andalusia, Spain.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227704869%22">Medical & biological engineering & computing</searchLink> [Med Biol Eng Comput] 2026 Jun; Vol. 64 (6), pp. 2321-2331. <i>Date of Electronic Publication: </i>2026 May 11.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7704869 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1741-0444 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201400118%22">01400118 </searchLink><i>NLM ISO Abbreviation: </i>Med Biol Eng Comput <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42113320
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11517-026-03590-4
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 2321
    Titles:
      – TitleFull: Domain generalisation challenges in breast cancer molecular classification using foundation models: a cross-cohort exploratory study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fernandez-Romero J
      – PersonEntity:
          Name:
            NameFull: Ramos-Berciano P
      – PersonEntity:
          Name:
            NameFull: Perez-Perez M
      – PersonEntity:
          Name:
            NameFull: Benavides D
      – PersonEntity:
          Name:
            NameFull: Robles-Frias A
      – PersonEntity:
          Name:
            NameFull: Garcia-Gutierrez J
      – PersonEntity:
          Name:
            NameFull: Macias-Garcia L
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1741-0444
          Numbering:
            – Type: volume
              Value: 64
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Medical & biological engineering & computing
              Type: main
ResultId 1