Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Let it shine: Autofluorescence of Papanicolaou-stain improves AI-based cytological oral cancer detection
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division Vi3. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. (MIDA)ORCID iD: 0009-0000-3069-5366
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division Vi3. (MIDA)ORCID iD: 0000-0001-7312-8222
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Odontology & Maxillofacial Surgery.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Plastic Surgery. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Surgical Sciences, Odontology & Maxillofacial Surgery.ORCID iD: 0000-0003-1060-7757
Show others and affiliations
2025 (English)In: Computers in Biology and Medicine, ISSN 0010-4825, E-ISSN 1879-0534, Vol. 185, p. 1-14, article id 109498Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2025. Vol. 185, p. 1-14, article id 109498
National Category
Medical Imaging Computer Vision and learning System Cancer and Oncology
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-547008DOI: 10.1016/j.compbiomed.2024.109498OAI: oai:DiVA.org:uu-547008DiVA, id: diva2:1926989
Funder
Swedish Cancer SocietyStockholm County CouncilVinnova, 2021-01420Vinnova, 2020-03611Vinnova, 2017-02447Swedish Research Council, 2022-03580Swedish Research Council, 2017-04385Swedish Research Council, 2022-06725Swedish Research Council, 2018-05973Available from: 2025-01-13 Created: 2025-01-13 Last updated: 2025-01-13

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Lian, WenyiLindblad, JoakimRunow Stark, ChristinaHirsch, JanSladoje, Nataša

Search in DiVA

By author/editor
Lian, WenyiLindblad, JoakimRunow Stark, ChristinaHirsch, JanSladoje, Nataša
By organisation
Division Vi3Computerized Image Analysis and Human-Computer InteractionOdontology & Maxillofacial SurgeryPlastic Surgery
In the same journal
Computers in Biology and Medicine
Medical ImagingComputer Vision and learning SystemCancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 27 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf