Multiple instance learning method based on convolutional neural network and self-attention for early cancer detection.

Saved in:
Bibliographic Details
Title: Multiple instance learning method based on convolutional neural network and self-attention for early cancer detection.
Authors: Liu J; School of Information and Electrical Engineering, Ludong University, Shandong, China., Zhou S; School of Information and Electrical Engineering, Ludong University, Shandong, China., Zang M; School of Information and Electrical Engineering, Ludong University, Shandong, China., Liu C; School of Information and Electrical Engineering, Ludong University, Shandong, China., Liu T; School of Information and Electrical Engineering, Ludong University, Shandong, China., Wang Q; School of Information and Electrical Engineering, Ludong University, Shandong, China.
Source: Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2026 May; Vol. 29 (6), pp. 1342-1357. Date of Electronic Publication: 2024 Dec 07.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9802899 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-8259 (Electronic) Linking ISSN: 10255842 NLM ISO Abbreviation: Comput Methods Biomech Biomed Engin Subsets: 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: 39644499
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Multiple instance learning method based on convolutional neural network and self-attention for early cancer detection.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Liu+J%22">Liu J</searchLink>; School of Information and Electrical Engineering, Ludong University, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Zhou+S%22">Zhou S</searchLink>; School of Information and Electrical Engineering, Ludong University, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Zang+M%22">Zang M</searchLink>; School of Information and Electrical Engineering, Ludong University, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Liu+C%22">Liu C</searchLink>; School of Information and Electrical Engineering, Ludong University, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Liu+T%22">Liu T</searchLink>; School of Information and Electrical Engineering, Ludong University, Shandong, China.<br /><searchLink fieldCode="AU" term="%22Wang+Q%22">Wang Q</searchLink>; School of Information and Electrical Engineering, Ludong University, Shandong, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229802899%22">Computer methods in biomechanics and biomedical engineering</searchLink> [Comput Methods Biomech Biomed Engin] 2026 May; Vol. 29 (6), pp. 1342-1357. <i>Date of Electronic Publication: </i>2024 Dec 07.
– 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="%22Informa+Healthcare%22">Informa Healthcare </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9802899 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-8259 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210255842%22">10255842 </searchLink><i>NLM ISO Abbreviation: </i>Comput Methods Biomech Biomed Engin <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39644499
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10255842.2024.2436909
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1342
    Titles:
      – TitleFull: Multiple instance learning method based on convolutional neural network and self-attention for early cancer detection.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Liu J
      – PersonEntity:
          Name:
            NameFull: Zhou S
      – PersonEntity:
          Name:
            NameFull: Zang M
      – PersonEntity:
          Name:
            NameFull: Liu C
      – PersonEntity:
          Name:
            NameFull: Liu T
      – PersonEntity:
          Name:
            NameFull: Wang Q
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: 2026 May
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1476-8259
          Numbering:
            – Type: volume
              Value: 29
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Computer methods in biomechanics and biomedical engineering
              Type: main
ResultId 1