Work

Unsupervised Segmentation and Quantification of Anatomical Knee Features: Data From the Osteoarthritis Initiative

Year: 2012

Type: article

Source: IEEE Transactions on Biomedical Engineering

DOI: 10.1109/tbme.2012.2186612

Authors: José G. Tamez-Pena, J. Farber, P. C. Gonzalez, E. Schreyer, E. Schneider, S. Totterman

Institutions: Tecnológico de Monterrey, Rochester Museum and Science Center, Cleveland Clinic

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Institute of Arthritis and Musculoskeletal and Skin Diseases

Awards: G1158108047, G400178218, G482432850

OpenAlex ID: W2009158291

FWCI: 9.131

Cites: 47

Cited by: 96

Related to: 10