Set-based Cascading Approaches for Magnetic Resonance (MR) Image Segmentation (SCAMIS)

• Main Authors: Liu, Jiang, Tze-Yun LEONG, Chee, Kin Ban, Tan, Boon Pin, Shuter, Borys, Wang, Shih Chang
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: Computer Sciences; Health Information Technology
• Online Access: https://ink.library.smu.edu.sg/sis_research/3040; https://ink.library.smu.edu.sg/context/sis_research/article/4040/viewcontent/Set_based_Cascading_Approaches_for_Magnetic_Reson.pdf
• Institution: Singapore Management University

This paper introduces Set-based Cascading Approach for Medical Image Segmentation (SCAMIS), a new methodology for segmentation of medical imaging by integrating a number of algorithms. Existing approaches typically adopt the pipeline methodology. Although these methods provide promising results, the...