Work

Abstract 859: Deep learning predicts expression-based molecular subtypes and immune status of urothelial cancer using digital pathology slides

Year: 2020

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2020-859

Authors: Matthew Bryan Brendel, Pegah Khosravi, Emily Tse, Lilly Gu, Kyrillus Shohdy, Rohan Bareja, Bhavneet Bhinder, Olivier Elemento, Bishoy Faltas, Iman Hajirasouliha

Institution: Weill Cornell Medicine

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3083247515

Cites:

Cited by:

Related to: 10