Work

A multiobjective approach to optimizing computerized detection schemes

Year: 2002

Type: conference-paper

Source: IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

DOI: 10.1109/nssmic.1998.773903

Authors: M.A. Anastasio, M.A. Kupinski, R.M. Nishikawa, M.L. Giger

Institution: University of Chicago

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

Funders: U.S. Public Health Service, Medical Research and Materiel Command

OpenAlex ID: W2218477693

FWCI:

Cites: 10

Cited by:

Related to: 10