A compact and interpretable multi-source framework for heterogeneous medical image classification.

Saved in:
Bibliographic Details
Title: A compact and interpretable multi-source framework for heterogeneous medical image classification.
Authors: Ayivi W; School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China. w.ayivi@std.uestc.edu.cn.; Department of Information Systems and Operations Management, Vienna University of Economics and Business, 1020, Vienna, Austria. w.ayivi@std.uestc.edu.cn., Zhang X; School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China. xlzhang@uestc.edu.cn., Ativi WX; School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China., Sam F; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China., Aligayev A; NOMATEN CoE, National Centre for Nuclear Research, 05-400, Otwock, Poland.; Scientific Research Center, Baku Engineering University, AZ0101, Baku, Azerbaijan.
Source: Scientific reports [Sci Rep] 2026 May 02; Vol. 16 (1). Date of Electronic Publication: 2026 May 02.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42069855
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A compact and interpretable multi-source framework for heterogeneous medical image classification.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Ayivi+W%22">Ayivi W</searchLink>; School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China. w.ayivi@std.uestc.edu.cn.; Department of Information Systems and Operations Management, Vienna University of Economics and Business, 1020, Vienna, Austria. w.ayivi@std.uestc.edu.cn.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China. xlzhang@uestc.edu.cn.<br /><searchLink fieldCode="AU" term="%22Ativi+WX%22">Ativi WX</searchLink>; School of Computer Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China.<br /><searchLink fieldCode="AU" term="%22Sam+F%22">Sam F</searchLink>; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.<br /><searchLink fieldCode="AU" term="%22Aligayev+A%22">Aligayev A</searchLink>; NOMATEN CoE, National Centre for Nuclear Research, 05-400, Otwock, Poland.; Scientific Research Center, Baku Engineering University, AZ0101, Baku, Azerbaijan.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 May 02; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 May 02.
– 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="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42069855
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-026-51120-x
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: A compact and interpretable multi-source framework for heterogeneous medical image classification.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ayivi W
      – PersonEntity:
          Name:
            NameFull: Zhang X
      – PersonEntity:
          Name:
            NameFull: Ativi WX
      – PersonEntity:
          Name:
            NameFull: Sam F
      – PersonEntity:
          Name:
            NameFull: Aligayev A
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 02
              M: 05
              Text: 2026 May 02
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2045-2322
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific reports
              Type: main
ResultId 1