distance-based focus & context models for exploring large volumetric medical datasets
文献类型：期刊论文
| 作者 | Luo Yanlin |
| 刊名 | Computing in Science and Engineering
 |
| 出版日期 | 2012 |
| 卷号 | 14期号:5页码:63-71 |
| ISSN号 | 15219615 |
| 英文摘要 | 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 |
| 语种 | 英语 |
| 公开日期 | 2012-11-12 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/14754]  |
| 专题 | 软件研究所_软件所图书馆_期刊论文 |
| 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. |
入库方式： OAI收割
来源：软件研究所
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