A Digital Workflow for Automated Assessment of Tumor-Infiltrating Lymphocytes in Oral Squamous Cell Carcinoma Using QuPath and a StarDist-Based Model
This work introduces an efficient, AI-powered workflow for automated immune profiling in OSCC, offering a reproducible and scalable approach for diagnostic and prognostic applications.
Authors
- Stefania Staibano (ORCID: https://orcid.org/0000-0003-4993-9388)
- Silvia Varricchio (ORCID: https://orcid.org/0000-0003-4984-0046)
- Francesco Merolla (ORCID: https://orcid.org/0000-0003-0711-6738)
- Rosa Maria Di Crescenzo (ORCID: https://orcid.org/0000-0003-0404-0141)
- Daniela Russo (ORCID: https://orcid.org/0000-0002-6961-3695)
- Gennaro Ilardi (ORCID: https://orcid.org/0000-0002-9354-4087)
- Angela Crispino (ORCID: https://orcid.org/0009-0003-6344-7942)
Institutions
- University of Molise (IT)
- Federico II University Hospital (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Pathologica
- Published
- 2024-12-01
- DOI
- https://doi.org/10.32074/1591-951x-1069
- Citations
- 3
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.99