Analysis of parameters' effects in semi-automated knee cartilage segmentation model: Data from the osteoarthritis initiative

• Main Authors: Gan, H. S., Karim, A. H. A., Sayuti, K. A., Tan, T. S., Kadir, M. R. A.
• Format: Conference or Workshop Item
• Published: American Institute of Physics Inc. 2016
• Subjects: TP Chemical technology
• Online Access: http://eprints.utm.my/id/eprint/73003/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997285878&doi=10.1063%2f1.4965172&partnerID=40&md5=a70e52a3efce4dc31f4e4200d3b34729

Unlike automated segmentation, the accuracy of semi-automated segmentation is affected by pertinent parameters such as observer, type of methods and type of cartilage. In this paper, we investigated the effect of these parameters on segmentation results. Based on Dice similarity index obtained from...