A Joint Multi-Scale Convolutional Network for Fully Automatic Segmentation of the Left Ventricle.
文献类型：会议论文
| 作者 | Qianqian Tong; Zhiyong Yuan; Xiangyun Liao; Mianlun Zheng; Weixu Zhu; Guian Zhang; Munan Ning. |
| 出版日期 | 2017 |
| 会议地点 | Beijing |
| 英文摘要 | Left ventricle (LV) segmentation is crucial for quantitative analysis of the cardiac contractile function. In this paper, we propose a joint multi-scale convolutional neural network to fully automatically segment the LV. Our method adopts two kinds of multi-scale features of cardiac magnetic resonance (CMR) images, including multi-scale features directly extracted from CMR images with different scales and multiscale features constructed by intermediate layers of standard CNN architecture. We take advantage of these two strategies and fuse their prediction results to produce more accurate segmentation results. Qualitative results demonstrate the effectiveness and robustness of our method, and quantitative evaluation indicates our method achieves LV segmentation with higher accuracy than state-of-the-art approaches. |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/11809]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2017 |
| 推荐引用方式 GB/T 7714 | Qianqian Tong, Zhiyong Yuan, Xiangyun Liao,et al. A Joint Multi-Scale Convolutional Network for Fully Automatic Segmentation of the Left Ventricle.[C]. 见:. Beijing. |
入库方式： OAI收割
来源：深圳先进技术研究院
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