Deep learning-enabled fluorescence imaging for oral cancer margin classification in preclinical models
A DL-enabled SFDI system trained with <i>in silico</i> images demonstrates promise in providing margin assessment of oral cancer tumors.
Authors
- Sharon Tzelnick (ORCID: https://orcid.org/0000-0001-7973-3212)
- Jay S. Wunder (ORCID: https://orcid.org/0000-0002-5978-9400)
- Mandolin Bartling (ORCID: https://orcid.org/0000-0003-1645-2493)
- Natalie Won
- Jonathan C. Irish (ORCID: https://orcid.org/0000-0002-1631-2717)
- Michael J. Daly (ORCID: https://orcid.org/0000-0002-2217-4146)
- Hiromi Kurosawa
- Brian C. Wilson (ORCID: https://orcid.org/0000-0001-5543-666X)
- Esmat Najjar
- S Patil (ORCID: https://orcid.org/0009-0002-0062-5636)
Institutions
- University Health Network (CA)
- University of Toronto (CA)
- Princess Margaret Cancer Centre (CA)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2025-09-12
- DOI
- https://doi.org/10.1117/1.jbo.30.s3.s34109
- Citations
- 4
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 5.44