Work

Analysis of methods for reducing false positives in the automated detection of clustered microcalcifications in mammograms

Year: 1998

Type: article

Source: Medical Physics

DOI: 10.1118/1.598326

Authors: Rufus H. Nagel, Robert M. Nishikawa, John Papaioannou, Kunio Doi

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: University of Chicago, National Institutes of Health, National Cancer Institute

Awards: COMPUTER-AIDED DIAGNOSIS IN DIGITAL MAMMOGRAPHY, G1927596424, G4098013223, RADIOGRAPHIC IMAGING FOR CANCER DIAGNOSIS, RESEARCH TRAINING IN MEDICAL PHYSICS

OpenAlex ID: W1967257064

FWCI: 4.989

Cites: 20

Cited by: 64

Related to: 10