Work

Improvement of Radiologists' Characterization of Mammographic Masses by Using Computer-aided Diagnosis: An ROC Study

Year: 1999

Type: article

Source: Radiology

DOI: 10.1148/radiology.212.3.r99au47817

Authors: Heang-Ping Chan, Berkman Sahiner, Mark A. Helvie, Nicholas Petrick, Marilyn A. Roubidoux, Todd E. Wilson, Dorit D. Adler, Chintana Paramagul, Joel S. Newman, Sethumadavan Sanjay-Gopal

Institutions: Michigan Medicine, University of Michigan

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

Funder: National Cancer Institute

Awards: G2132815574, DEVELOPMENT OF COMPUTER BASED TECHNIQUES IN MAMMOGRAPHY

OpenAlex ID: W2138309086

FWCI: 21.12

Cites: 27

Cited by: 244

Related to: 10