Work

A genetic algorithm‐based method for optimizing the performance of a computer‐aided diagnosis scheme for detection of clustered microcalcifications in mammograms

Year: 1998

Type: article

Source: Medical Physics

DOI: 10.1118/1.598341

Authors: Mark A. Anastasio, Hiroyuki Yoshida, Rufus Nagel, Robert M. Nishikawa, 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

OpenAlex ID: W2001180220

FWCI: 9.144

Cites: 20

Cited by: 53

Related to: 10