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	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.

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