Work

Tumor detection in the bladder wall with a measurement of abnormal thickness in CT scans

Year: 2003

Type: article

Source: IEEE Transactions on Biomedical Engineering

DOI: 10.1109/tbme.2003.808828

Authors: S. Jaume, M. Ferrant, B. Macq, L. Hoyte, J.R. Fielding, A. Schreyer, R. Kikinis, S.K. Warfield

Institutions: UCLouvain, General Electric (France), KU Leuven, Brigham and Women's Hospital, Harvard University, University of North Carolina at Chapel Hill

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: National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources

Awards: G1513719730, VIRTUAL CYSTOSCOPY--DETECTION OF SMALL BLADDER TUMORS, CORE SEGMENTATION TOOLS FOR COMPUTER ASSISTED SURGERY, G2741593105, Image Guided Therapy, Neuroimaging Analysis Center, G608806445, G7652301275, G895992527

OpenAlex ID: W2141891346

FWCI: 2.818

Cites: 20

Cited by: 50

Related to: 10