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Abstract B094: Quantitative digital image analysis and machine learning for staging of prostate cancer at diagnosis

Year: 2018

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.prca2017-b094

Authors: Fangjin Huang, Nathan Ing, Miller Eric, Hootan Salemi, Michael Lewis, Isla Garraway, Arkadiusz Gertych, Beatrice Knudsen

Institutions: Cedars-Sinai Medical Center, University of California, Los Angeles, VA Greater Los Angeles Healthcare System

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: W2914485697

Cites:

Cited by: 7

Related to: 10