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Article

Using deep learning to identify bladder cancers with FGFR-activating mutations from histology images.

Cancer medicine - 1 Jul 2021

Velmahos Constantine S, Badgeley Marcus, Lo Ying-Chun

Abstract excerpt

BACKGROUND: In recent years, the fibroblast growth factor receptor (FGFR) pathway has been proven to be an important therapeutic target in bladder cancer. FGFR-targeted therapies are effective for patients with FGFR mutation, which can be discovered through genetic sequencing. However, genetic sequencing is not commonly performed at diagnosis, whereas a histologic assessment of the tumor is. We aim to...

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Identifiers

PMID: 34114376
DOI: 10.1002/cam4.4044
PMCID: PMC8290253

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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