Work

Semi-automated segmentation to assess the lateral meniscus in normal and osteoarthritic knees

Year: 2009

Type: article

Source: Osteoarthritis and Cartilage

DOI: 10.1016/j.joca.2009.10.004

Authors: M.S. Swanson, J.W. Prescott, T.M. Best, K. Powell, R.D. Jackson, F. Haq, M.N. Gurcan

Institution: The Ohio State University

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: bronze

Funders: National Institute of Arthritis and Musculoskeletal and Skin Diseases, U.S. National Library of Medicine, National Center for Research Resources

Awards: G1158108047, G166592988, The Ohio State University Center for Clinical and Translational Science (TL1), The Ohio State University Center for Clinical and Translational Science (UL1), G400178218, G482432850, OAMiner: Integrative Knowledge Anchored Hypothesis Discovery

OpenAlex ID: W2001126028

FWCI: 3.878

Cites: 32

Cited by: 60

Related to: 10