You are here

  • Home
  • Archive
  • Volume 10, Issue Suppl 2
  • 554 Artificial intelligence (AI)-powered immune phenotyping of advanced or metastatic urothelial carcinoma (aUC) clinical trial samples from hematoxylin and eosin (H&E)-stained whole slide images (WSI)

Citation Tools

Article menu

Download PDFPDF

Regular and Young Investigator Award Abstracts
Clinical Trials Completed
554 Artificial intelligence (AI)-powered immune phenotyping of advanced or metastatic urothelial carcinoma (aUC) clinical trial samples from hematoxylin and eosin (H&E)-stained whole slide images (WSI)
Free

Download to a citation manager

Download the citation for this article by clicking on one of the following citation managers:

Cite this article as:
Conway J, Yu L, Belhe Y, et al
554 Artificial intelligence (AI)-powered immune phenotyping of advanced or metastatic urothelial carcinoma (aUC) clinical trial samples from hematoxylin and eosin (H&E)-stained whole slide images (WSI)
Journal for ImmunoTherapy of Cancer 2022;10:doi: 10.1136/jitc-2022-SITC2022.0554