Segmentation of cerebral edema of intracerebral hemorrhage patients on CT scans through model learned from CT and T2-weighted images
文献类型：会议论文
| 作者 | Mingyang Chen; Fucang Jia; Xiaodong Li; Guanglin Li; Qingmao Hu |
| 出版日期 | 2015 |
| 会议名称 | CARS2015 |
| 会议地点 | Spain |
| 英文摘要 | An automatic method is presented to extract edema around spontaneous intracerebral hemorrhage (SICH). A new way to cluster edema based on region growing is proposed, with seeds derived from expectation-maximization algorithm, local grayscale mean derived from adaptive local thresholding with varied window sizes, and growing rules that combines local grayscale mean and grayscale information in the form of two-dimensional entropy. |
| 收录类别 | 其他 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/7233]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2015 |
| 推荐引用方式 GB/T 7714 | Mingyang Chen,Fucang Jia,Xiaodong Li,et al. Segmentation of cerebral edema of intracerebral hemorrhage patients on CT scans through model learned from CT and T2-weighted images[C]. 见:CARS2015. Spain. |
入库方式： OAI收割
来源：深圳先进技术研究院
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