📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis. (2025)

First Author: Schoenpflug LA

Attributed to: MICA: Stratification in COloRectal cancer: from biology to Treatment prediction: S-CORT funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/path.6376

PubMed Identifier: 39710952

Publication URI: http://europepmc.org/abstract/MED/39710952

Type: Journal Article/Review

Volume: 265

Parent Publication: The Journal of pathology

Issue: 2

ISSN: 0022-3417