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	Segmentation of Kidneys from Computed Tomography Using 3D Fast GrowCut Algorithm
	Gao Yuan Dai; Zhi Cheng Li; Jia Gu; Lei Wang; Xing Min Li; Yao Qin Xie
	2013
会议名称	2013 20th IEEE International Conference on Image Processing, ICIP 2013
会议地点	Melbourne, VIC, Australia
英文摘要	This paper proposes a fast GrowCut (FGC) algorithm and applies the new algorithm in three-dimensional (3D) kidney segmentation from computed tomography (CT) volume data. Users could mark the object of interest with different labels in CT slices. FGC propagates die labels using monotonically decreasing function and gray features to derive an optimal cut for a given data in space. The gray features play a great role in comparing with neighborhood cells. The experimental results clearly demonstrate nie superiority of FGC in accuracy and speed.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/5019]
专题	深圳先进技术研究院_医工所
作者单位	2013
推荐引用方式 GB/T 7714	Gao Yuan Dai,Zhi Cheng Li,Jia Gu,et al. Segmentation of Kidneys from Computed Tomography Using 3D Fast GrowCut Algorithm[C]. 见:2013 20th IEEE International Conference on Image Processing, ICIP 2013. Melbourne, VIC, Australia.

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