Predicting cancer content in tiles of lung squamous cell carcinoma tumours with validation against pathologist labels
With further validation for each specific research application, the model we describe in this paper could facilitate the development of more effective research pipelines for predicting treatment biomarkers for lung SqCC.
Authors
- Joseph Coats
- Salma Dammak (ORCID: https://orcid.org/0000-0003-2927-338X)
- Matthew J. Cecchini (ORCID: https://orcid.org/0000-0001-7224-5216)
- Katherina Baranova (ORCID: https://orcid.org/0000-0003-4740-9789)
- Aaron D. Ward
Institutions
- Western University (CA)
- London Health Sciences Centre (CA)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1016/j.compbiomed.2024.109489
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00