Unifying the seeds auto generation (SAGE) with knee cartilage segmentation framework: data from the osteoarthritis initiative

• Main Authors: Gan, Hong Seng, Sayuti, Khairil Amir, Ramlee, Muhammad Hanif, Lee, Yeng Seng, Wan Mahmud, Wan Mahani Hafizah, Abdul Karim, Ahmad Helmy
• Format: Article
• Published: Springer Verlag 2019
• Subjects: QH Natural history; TP Chemical technology
• Online Access: http://eprints.utm.my/id/eprint/89236/; http://dx.doi.org/10.1007/s11548-019-01936-y

Purpose: Manual segmentation is sensitive to operator bias, while semiautomatic random walks segmentation offers an intuitive approach to understand the user knowledge at the expense of large amount of user input. In this paper, we propose a novel random walks seed auto-generation (SAGE) hybrid mode...