A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions.

Saved in:
Bibliographic Details
Title: A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions.
Authors: Fu F; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Zhang X; Department of Pathology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China., Wang Z; Department of Statistics and Data Science, Washington University in St. Louis, St. Louis, MO, United States., Xie L; Department of Pathology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China., Fu M; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Peng J; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Wu J; State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China., Wang Z; State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China., Guan T; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., He Y; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Lin JS; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Zhu L; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China., Dai W; Department of Pathology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China.
Source: Frontiers in pharmacology [Front Pharmacol] 2025 Jun 06; Vol. 16, pp. 1592950. Date of Electronic Publication: 2025 Jun 06 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media] Country of Publication: Switzerland NLM ID: 101548923 Publication Model: eCollection Cited Medium: Print ISSN: 1663-9812 (Print) Linking ISSN: 16639812 NLM ISO Abbreviation: Front Pharmacol 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: 40548052
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Fu+F%22">Fu F</searchLink>; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Department of Pathology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China.<br /><searchLink fieldCode="AU" term="%22Wang+Z%22">Wang Z</searchLink>; Department of Statistics and Data Science, Washington University in St. Louis, St. Louis, MO, United States.<br /><searchLink fieldCode="AU" term="%22Xie+L%22">Xie L</searchLink>; Department of Pathology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China.<br /><searchLink fieldCode="AU" term="%22Fu+M%22">Fu M</searchLink>; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Peng+J%22">Peng J</searchLink>; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Wu+J%22">Wu J</searchLink>; State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China.<br /><searchLink fieldCode="AU" term="%22Wang+Z%22">Wang Z</searchLink>; State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China.<br /><searchLink fieldCode="AU" term="%22Guan+T%22">Guan T</searchLink>; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22He+Y%22">He Y</searchLink>; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Lin+JS%22">Lin JS</searchLink>; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Zhu+L%22">Zhu L</searchLink>; Department of Life and Health, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Dai+W%22">Dai W</searchLink>; Department of Pathology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, Guangxi, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101548923%22">Frontiers in pharmacology</searchLink> [Front Pharmacol] 2025 Jun 06; Vol. 16, pp. 1592950. <i>Date of Electronic Publication: </i>2025 Jun 06 (<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+Media]%22">Frontiers Media] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101548923 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1663-9812 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216639812%22">16639812 </searchLink><i>NLM ISO Abbreviation: </i>Front Pharmacol <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40548052
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3389/fphar.2025.1592950
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1592950
    Titles:
      – TitleFull: A pathology-attention multi-instance learning framework for multimodal classification of colorectal lesions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fu F
      – PersonEntity:
          Name:
            NameFull: Zhang X
      – PersonEntity:
          Name:
            NameFull: Wang Z
      – PersonEntity:
          Name:
            NameFull: Xie L
      – PersonEntity:
          Name:
            NameFull: Fu M
      – PersonEntity:
          Name:
            NameFull: Peng J
      – PersonEntity:
          Name:
            NameFull: Wu J
      – PersonEntity:
          Name:
            NameFull: Wang Z
      – PersonEntity:
          Name:
            NameFull: Guan T
      – PersonEntity:
          Name:
            NameFull: He Y
      – PersonEntity:
          Name:
            NameFull: Lin JS
      – PersonEntity:
          Name:
            NameFull: Zhu L
      – PersonEntity:
          Name:
            NameFull: Dai W
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 06
              M: 06
              Text: 2025 Jun 06
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 1663-9812
          Numbering:
            – Type: volume
              Value: 16
          Titles:
            – TitleFull: Frontiers in pharmacology
              Type: main
ResultId 1