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| distance-based focus & context models for exploring large volumetric medical datasets | |
| Luo Yanlin | |
| 2012 | |
| Source | Computing in Science and Engineering
 |
| ISSN | 15219615 |
| Volume | 14Issue:5Pages:63-71 |
| English Abstract | 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. |
| Indexed Type | ei |
| Department | (1) Beijing Normal University, Institute of Software, Chinese Academy of Sciences, China |
| Language | 英语 |
| Content Type | 期刊论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/14754 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 06086525.pdf（4244KB） | 开放获取 | License | Application Full Text | |||
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