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Abstract 3042: Nuclear morphology predicts prostate cancer metastasis at diagnosis

Year: 2018

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.am2018-3042

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

Institutions: Cedars-Sinai Medical Center, University of California, Los Angeles

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: W2886956705

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