Publication
Improving Diagnostic Sensitivity in Imbalanced Oral Cancer Image Classification: A Comparative Study of CNN and Transformer Architectures.
Pablo Ormeño-Arriagada, Valentina Zúñiga, Carlos Toro, Gastón Márquez, David Araya, Diego Mellado, Carla Taramasco
CancersSep 9, 2026PMID 42794893doi:10.3390/cancers18182926 PMC13604656Journal ArticlepubmedProvenance
- Source
- PubMed
- Retrieved
- Sep 30, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-PUBMED-20260930-000001
Abstract
Abstract (excerpt)
Only the opening of the abstract is shown; abstract text may carry publisher copyright.
BACKGROUND: Class imbalance remains a major limitation in artificial intelligence based oral cancer diagnosis, particularly in small clinical image datasets where malignant lesions are underrepresented. METHODS: Using a dataset of 3000 mobile-acquired oral cavity images categorized into four…
Read on PubMedLinked entities
Linked entities (1)
How each link was made (MeSH, dictionary, registry reference, curation…) and whether it has been validated. Candidate links are not counted in entity statistics.
Candidate 1
- cancerMalignant Lip and Oral Cavity Neoplasmdictionary0.60
Curated evidence
Evidence citing this paper (0)
Data not yet available
No curated evidence item cites this publication.