Please use this identifier to cite or link to this item:
|Title:||Integrating FCM and Level Sets for Liver Tumor Segmentation|
level set methods
liver tumor segmentation
medical image processing
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 21, 2018
checked on Feb 17, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.