Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-92841-6_49
Title: Integrating FCM and Level Sets for Liver Tumor Segmentation
Authors: Li, B.N.
Chui, C.K. 
Ong, S.H. 
Chang, S.
Keywords: fuzzy c-means
level set methods
liver tumor segmentation
medical image processing
Issue Date: 2009
Source: Li, B.N.,Chui, C.K.,Ong, S.H.,Chang, S. (2009). Integrating FCM and Level Sets for Liver Tumor Segmentation. IFMBE Proceedings 23 : 202-205. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-540-92841-6_49
Abstract: Liver and liver tumor segmentations are very important for a contemporary planning system of liver surgery. However, both liver and liver tumor segmentations are a grand challenge in clinics. In this paper, we proposed an integrated paradigm with fuzzy c-means (FCM) and level set method for computerized liver tumor segmentation. An innovation in this paper is to interface the initial segmentations from FCM and the fine delineation with level set method by morphological operations. The results in real medical images confirm the effectiveness of such integrated paradigm for liver tumor segmentation.
Source Title: IFMBE Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/83850
ISBN: 9783540928409
ISSN: 16800737
DOI: 10.1007/978-3-540-92841-6_49
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