Prostate cancer tissue mapping and stratification using DRAQ5 and Eosin fluorescent labels integrated with AI classification and segmentation algorithms
Overall, DRAQ5 and Eosin labeling in combination with AI tools demonstrate a potential pipeline used in diagnostic clinical application when employing fluorescent imaging. Future research could expand and bring this combined fluorescent biomarker and AI methodology to the clinic.
Authors
- Dimitris Parthimos (ORCID: https://orcid.org/0000-0003-3852-323X)
- Emiliano Spezi (ORCID: https://orcid.org/0000-0002-1452-8813)
- Rachel J. Errington
- I. Evangelou
- Marie Wiltshire
- David Hywel Thomas
- Fiyinfoluwa Akinade
- Michail Georgios Papachristos
- Carolina Fuentes
- Anna Wilson
Institutions
- Swansea Bay University Health Board (GB)
- Singleton Hospital (GB)
- University Hospital of Wales (GB)
- Morriston Hospital (GB)
- University of Alabama at Birmingham (US)
- Cardiff University (GB)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-03-26
- DOI
- https://doi.org/10.1371/journal.pone.0345014
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00