Prostate cancer tissue mapping and stratification using DRAQ5 and Eosin fluorescent labels integrated with AI classification and segmentation algorithms

20260 citationsJournal Articlegold Open Access

Authors

Michail Georgios Papachristos · Cardiff University

Emiliano Spezi · Cardiff University

Carolina Fuentes · Cardiff University

I. Evangelou · Swansea Bay University Health Board

David Hywel Thomas · University Hospital of Wales

Fiyinfoluwa Akinade · Cardiff University

Marie Wiltshire

Abstract

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.

Topics & Keywords

AI in cancer detection Advanced Fluorescence Microscopy Techniques Cell Image Analysis Techniques

Publication Details

Published in: PLoS ONE

Volume 21, Issue 3, pp. e0345014-e0345014

DOI: 10.1371/journal.pone.0345014

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Prostate cancer tissue mapping and stratification using DRAQ5 and Eosin fluorescent labels integrated with AI classification and segmentation algorithms

Authors

Abstract

Topics & Keywords

Publication Details