View in EDS HTML Full Text PDF Full Text

TriDermCancerNet: A hybrid deep learning framework for skin cancer classification.

Saved in:
Bibliographic Details
Title: TriDermCancerNet: A hybrid deep learning framework for skin cancer classification.
Authors: Fiaz B; Department of Computer Engineering, HITEC University, Pakistan., Khan MA; Center of AI, Prince Mohammad bin Fahd University, Saudi Arabia., Zafar A; Department of Computer Science, National University of Computer and Emerging Sciences, Pakistan., Alsenan S; Information Systems Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Saudi Arabia., Alnsour Y; Department of MIS, College of Business Administration, Prince Mohammad bin Fahd University, Saudi Arabia., Yang Z; Department of ICT Convergence, Soonchunhyang University, South Korea., Nam Y; Department of ICT Convergence, Soonchunhyang University, South Korea.
Source: The Journal of international medical research [J Int Med Res] 2026 Jun; Vol. 54 (6), pp. 3000605261461235. Date of Electronic Publication: 2026 Jun 23.
Publication Type: Journal Article
Journal Info: Publisher: Sage Publications Country of Publication: England NLM ID: 0346411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-2300 (Electronic) Linking ISSN: 03000605 NLM ISO Abbreviation: J Int Med Res 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: 42334317
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: TriDermCancerNet: A hybrid deep learning framework for skin cancer classification.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Fiaz+B%22">Fiaz B</searchLink>; Department of Computer Engineering, HITEC University, Pakistan.<br /><searchLink fieldCode="AU" term="%22Khan+MA%22">Khan MA</searchLink>; Center of AI, Prince Mohammad bin Fahd University, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Zafar+A%22">Zafar A</searchLink>; Department of Computer Science, National University of Computer and Emerging Sciences, Pakistan.<br /><searchLink fieldCode="AU" term="%22Alsenan+S%22">Alsenan S</searchLink>; Information Systems Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Alnsour+Y%22">Alnsour Y</searchLink>; Department of MIS, College of Business Administration, Prince Mohammad bin Fahd University, Saudi Arabia.<br /><searchLink fieldCode="AU" term="%22Yang+Z%22">Yang Z</searchLink>; Department of ICT Convergence, Soonchunhyang University, South Korea.<br /><searchLink fieldCode="AU" term="%22Nam+Y%22">Nam Y</searchLink>; Department of ICT Convergence, Soonchunhyang University, South Korea.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220346411%22">The Journal of international medical research</searchLink> [J Int Med Res] 2026 Jun; Vol. 54 (6), pp. 3000605261461235. <i>Date of Electronic Publication: </i>2026 Jun 23.
– 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="%22Sage+Publications%22">Sage Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0346411 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1473-2300 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203000605%22">03000605 </searchLink><i>NLM ISO Abbreviation: </i>J Int Med Res <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42334317
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/03000605261461235
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 3000605261461235
    Titles:
      – TitleFull: TriDermCancerNet: A hybrid deep learning framework for skin cancer classification.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fiaz B
      – PersonEntity:
          Name:
            NameFull: Khan MA
      – PersonEntity:
          Name:
            NameFull: Zafar A
      – PersonEntity:
          Name:
            NameFull: Alsenan S
      – PersonEntity:
          Name:
            NameFull: Alnsour Y
      – PersonEntity:
          Name:
            NameFull: Yang Z
      – PersonEntity:
          Name:
            NameFull: Nam Y
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1473-2300
          Numbering:
            – Type: volume
              Value: 54
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: The Journal of international medical research
              Type: main
ResultId 1