An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images

	An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images
	Ma, YR; Wang, L; Ma, YD; Dong, M; Du, SQ; Sun, XG
刊名	INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
	2016-11
卷号	11 期号:1-11 页码:1951-1964
关键词	Cardiac MRI Left ventricle segmentation Simplified pulse-coupled neural network (SPCNN) Gradient vector flow (GVF) A priori constraints
ISSN号	1861-6410
通讯作者	Ma, YD (reprint author), Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Gansu, Peoples R China.
学科主题	Engineering; Radiology, Nuclear Medicine & Medical Imaging; Surgery
出版地	HEIDELBERG
语种	英语
WOS记录号	WOS:000386346500002
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/189572]
专题	信息科学与工程学院_期刊论文
推荐引用方式 GB/T 7714	Ma, YR,Wang, L,Ma, YD,et al. An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images[J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY,2016,11(1-11):1951-1964.
APA	Ma, YR,Wang, L,Ma, YD,Dong, M,Du, SQ,&Sun, XG.(2016).An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images.INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY,11(1-11),1951-1964.
MLA	Ma, YR,et al."An SPCNN-GVF-based approach for the automatic segmentation of left ventricle in cardiac cine MR images".INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 11.1-11(2016):1951-1964.