Artificial Intelligence–based Detection of FGFR3 Mutational Status Directly from Routine Histology in Bladder Cancer: A Possible Preselection for Molecular Testing?

Title
Artificial Intelligence–based Detection of FGFR3 Mutational Status Directly from Routine Histology in Bladder Cancer: A Possible Preselection for Molecular Testing?
Authors
Keywords
Bladder cancer, FGFR3 mutations, Deep learning, Artificial intelligence, Molecular testing for fibroblast growth factor receptor therapy
Journal
European Urology Focus
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2021-04-22
DOI
10.1016/j.euf.2021.04.007

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started