Automatic detection of cerebral microbleeds via deep learning based 3D feature representation. | |
H Chen; L Yu; Q Dou; L Shi; VCT Mok; PA Heng | |
2015 | |
会议名称 | In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on (pp. 764-767). IEEE. |
会议地点 | Macro |
英文摘要 | Clinical identification and rating of the cerebral microbleeds (CMBs) are important in vascular diseases and dementia diagnosis. However, manual labeling is time-consuming with low reproducibility. In this paper, we present an automatic method via deep learning based 3D feature representation, which solves this detection problem with three steps: candidates localization with high sensitivity, feature representation, and precise classification for reducing false positives. Different from previous methods by exploiting low-level features, e.g., shape features and intensity values, we utilize the deep learning based high-level feature representation. Experimental results validate the efficacy of our approach, which outperforms other methods by a large margin with a high sensitivity while significantly reducing false positives per subject . |
收录类别 | EI |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/6795] ![]() |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | 2015 |
推荐引用方式 GB/T 7714 | H Chen,L Yu,Q Dou,et al. Automatic detection of cerebral microbleeds via deep learning based 3D feature representation.[C]. 见:In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on (pp. 764-767). IEEE.. Macro. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论