Integrating multimodal ultrasound imaging and machine learning for predicting luminal and non-luminal breast cancer subtypes.

Saved in:
Bibliographic Details
Title: Integrating multimodal ultrasound imaging and machine learning for predicting luminal and non-luminal breast cancer subtypes.
Authors: Fu Y; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Chen HJ; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Zhang H; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Liu DJ; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Chen X; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Qiu CY; Department of Medical Informatics, School of Medicine, Nantong University, Nantong, Jiangsu, China., Lu WW; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China., Bai HM; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Li QW; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Li GX; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Shen ZJ; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Gu CJ; Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China., Zhang YP; Department of Medical Informatics, School of Medicine, Nantong University, Nantong, Jiangsu, China., Ni XJ; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Source: Frontiers in oncology [Front Oncol] 2025 Oct 08; Vol. 15, pp. 1558880. Date of Electronic Publication: 2025 Oct 08 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101568867 Publication Model: eCollection Cited Medium: Print ISSN: 2234-943X (Print) Linking ISSN: 2234943X NLM ISO Abbreviation: Front Oncol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41132714
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Integrating multimodal ultrasound imaging and machine learning for predicting luminal and non-luminal breast cancer subtypes.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Fu+Y%22">Fu Y</searchLink>; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Chen+HJ%22">Chen HJ</searchLink>; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Zhang+H%22">Zhang H</searchLink>; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Liu+DJ%22">Liu DJ</searchLink>; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Qiu+CY%22">Qiu CY</searchLink>; Department of Medical Informatics, School of Medicine, Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Lu+WW%22">Lu WW</searchLink>; Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.<br /><searchLink fieldCode="AU" term="%22Bai+HM%22">Bai HM</searchLink>; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Li+QW%22">Li QW</searchLink>; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Li+GX%22">Li GX</searchLink>; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Shen+ZJ%22">Shen ZJ</searchLink>; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Gu+CJ%22">Gu CJ</searchLink>; Department of General Surgery, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Zhang+YP%22">Zhang YP</searchLink>; Department of Medical Informatics, School of Medicine, Nantong University, Nantong, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Ni+XJ%22">Ni XJ</searchLink>; Department of Ultrasound, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101568867%22">Frontiers in oncology</searchLink> [Front Oncol] 2025 Oct 08; Vol. 15, pp. 1558880. <i>Date of Electronic Publication: </i>2025 Oct 08 (<i>Print Publication: </i>2025).
– 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="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101568867 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2234-943X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222234943X%22">2234943X </searchLink><i>NLM ISO Abbreviation: </i>Front Oncol <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41132714
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3389/fonc.2025.1558880
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1558880
    Titles:
      – TitleFull: Integrating multimodal ultrasound imaging and machine learning for predicting luminal and non-luminal breast cancer subtypes.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fu Y
      – PersonEntity:
          Name:
            NameFull: Chen HJ
      – PersonEntity:
          Name:
            NameFull: Zhang H
      – PersonEntity:
          Name:
            NameFull: Liu DJ
      – PersonEntity:
          Name:
            NameFull: Chen X
      – PersonEntity:
          Name:
            NameFull: Qiu CY
      – PersonEntity:
          Name:
            NameFull: Lu WW
      – PersonEntity:
          Name:
            NameFull: Bai HM
      – PersonEntity:
          Name:
            NameFull: Li QW
      – PersonEntity:
          Name:
            NameFull: Li GX
      – PersonEntity:
          Name:
            NameFull: Shen ZJ
      – PersonEntity:
          Name:
            NameFull: Gu CJ
      – PersonEntity:
          Name:
            NameFull: Zhang YP
      – PersonEntity:
          Name:
            NameFull: Ni XJ
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 08
              M: 10
              Text: 2025 Oct 08
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 2234-943X
          Numbering:
            – Type: volume
              Value: 15
          Titles:
            – TitleFull: Frontiers in oncology
              Type: main
ResultId 1