Work

Optimization and FROC analysis of rule-based detection schemes using a multiobjective approach

Year: 1998

Type: article

Source: IEEE Transactions on Medical Imaging

DOI: 10.1109/42.746726

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

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, National Center for Research Resources

Awards: G1674572911, SCIENTIFIC VISUALIZATION AND IMAGE ANALYSIS SYSTEM, G4098013223, RADIOGRAPHIC IMAGING FOR CANCER DIAGNOSIS

OpenAlex ID: W2124101641

FWCI: 1.306

Cites: 21

Cited by: 38

Related to: 10