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	A fast weak-supervised pulmonary nodule segmentation method based on modified self-adaptive FCM algorithm
	Liu, Hui; Geng, Fenghuan; Guo, Qiang; Zhang, Caiqing; Zhang, Caiming
刊名	SOFT COMPUTING
	2018
卷号	22期号:12页码:3983-3995
关键词	Modified self-adaptive FCM Probability relation matrix PSOm algorithm Unlabeled CT images Weak-supervised segmentation
DOI	10.1007/s00500-017-2608-5
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4568202
专题	山东大学
作者单位	Shandong Univ Finance & Econ, Sch Comp Sci & Technol, Digital Media Key Lab Shandong Prov, Jinan 250014, Shando
推荐引用方式 GB/T 7714	Liu, Hui,Geng, Fenghuan,Guo, Qiang,et al. A fast weak-supervised pulmonary nodule segmentation method based on modified self-adaptive FCM algorithm[J]. SOFT COMPUTING,2018,22(12):3983-3995.
APA	Liu, Hui,Geng, Fenghuan,Guo, Qiang,Zhang, Caiqing,&Zhang, Caiming.(2018).A fast weak-supervised pulmonary nodule segmentation method based on modified self-adaptive FCM algorithm.SOFT COMPUTING,22(12),3983-3995.
MLA	Liu, Hui,et al."A fast weak-supervised pulmonary nodule segmentation method based on modified self-adaptive FCM algorithm".SOFT COMPUTING 22.12(2018):3983-3995.

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