Interactive liver tumor segmentation from ct scans using support vector classification with watershed

	Interactive liver tumor segmentation from ct scans using support vector classification with watershed
	Zhang, Xing; Tian, Jie; Xiang, Dehui; Li, Xiuli; Deng, Kexin
	2011
会议名称	the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
会议录名称	Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS)
页码	6005-6008
会议日期	2011
会议地点	Italy
摘要	Abstract— In this paper, we present an interactive method for liver tumor segmentation from computed tomography (CT) scans. After some pre-processing operations, including liver parenchyma segmentation and liver contrast enhancement, the CT volume is partitioned into a large number of catchment basins under watershed transform. Then a support vector machines (SVM) classifier is trained on the user-selected seed points to extract tumors from liver parenchyma, while the corresponding feature vector for training and prediction is computed based upon each small region produced by watershed transform. Finally, some morphological operations are performed on the whole segmented binary volume to refine the rough segmentation result of SVM classification. The proposed method is tested and evaluated on MICCAI 2008 liver tumor segmentation challenge datasets. The experiment results demonstrate the accuracy and efficiency of the proposed method so that indicate availability in clinical routines.
关键词	-
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5432
专题	中国科学院分子影像重点实验室
通讯作者	Tian, Jie
推荐引用方式 GB/T 7714	Zhang, Xing,Tian, Jie,Xiang, Dehui,et al. Interactive liver tumor segmentation from ct scans using support vector classification with watershed[C],2011:6005-6008.

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