Segmentation of hyper-acute ischemic stroke based on randomforest from diffusion weighted imaging
文献类型：会议论文
| 作者 | Yuqing Peng; Xiaodong Zhang; Peiyi Gao; Jing Xue; Weiping Li; Lijie Ren; Qingmao Hu |
| 出版日期 | 2016 |
| 会议名称 | CARS 2016 |
| 会议地点 | 德国 海德堡 |
| 英文摘要 | Hyper-acute ischemic stroke is an important brain injury because of decrease in or deprivation of oxygen and blood supply. It is hard to delineate ischemic stroke regions due to diverse locations, variable shapes and unclear boundaries even for experienced experts. At hyper-acute stage, diffusion weighted (DW) imaging is preferred due to its high sensitivity in detecting stroke lesions [1]. Therefore an automated and effective method is necessary to segment ischemic stroke to aid the decision making for treatment. We investigate random forest on hyper-acute ischemic stroke segmentation from baseline DW imaging (including T2-weighted image, DW image (DWI) and apparent diffusion coefficient (ADC)). |
| 收录类别 | 其他 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10547]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2016 |
| 推荐引用方式 GB/T 7714 | Yuqing Peng,Xiaodong Zhang,Peiyi Gao,et al. Segmentation of hyper-acute ischemic stroke based on randomforest from diffusion weighted imaging[C]. 见:CARS 2016. 德国 海德堡. |
入库方式： OAI收割
来源：深圳先进技术研究院
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