Vision Transformers for Low-Quality Histopathological Images: A Case Study on Squamous Cell Carcinoma Margin Classification.

Saved in:
Bibliographic Details
Title: Vision Transformers for Low-Quality Histopathological Images: A Case Study on Squamous Cell Carcinoma Margin Classification.
Authors: Park SY; Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.; Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea., Ayana G; Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.; School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma 378, Ethiopia., Wako BD; Center of Biomedical Engineering, Jimma University Medical Center, Jimma 378, Ethiopia., Jeong KC; Department of Animal Sciences, University of Florida, Gainesville, FL 32610, USA.; Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA., Yoon SD; Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA.; Department of Chemical and Biomolecular Engineering, Chonnam National University, Yeosu 59626, Republic of Korea., Choe SW; Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.; Department of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Republic of Korea.; Emerging Pathogens Institute, University of Florida, Gainesville, FL 32611, USA.
Source: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2025 Jan 23; Vol. 15 (3). Date of Electronic Publication: 2025 Jan 23.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2075-4418
DOI:10.3390/diagnostics15030260