distance-based focus &amp; context models for exploring large volumetric medical datasets

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	distance-based focus & context models for exploring large volumetric medical datasets
	Luo Yanlin
	2012
发表期刊	Computing in Science and Engineering
ISSN	15219615
卷号	14 期号:5 页码:63-71
摘要	The exploration and visualization of large volumetric medical datasets from high-resolution computed tomography (CT) and medical resonance imaging (MRI) medical images are slow in rendering speed because of the large amount of data. Distance-based methods can address such issues, based on GPU volume raycasting and the idea of focus + context. © 1999-2011 IEEE.
收录类别	ei
部门归属	(1) Beijing Normal University, Institute of Software, Chinese Academy of Sciences, China
语种	英语
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/14754
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Luo Yanlin. distance-based focus & context models for exploring large volumetric medical datasets[J]. Computing in Science and Engineering,2012,14(5):63-71.
APA	Luo Yanlin.(2012).distance-based focus & context models for exploring large volumetric medical datasets.Computing in Science and Engineering,14(5),63-71.
MLA	Luo Yanlin."distance-based focus & context models for exploring large volumetric medical datasets".Computing in Science and Engineering 14.5(2012):63-71.