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- W1664455877 abstract "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." @default.
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- W1664455877 date "2015-04-01" @default.
- W1664455877 modified "2023-10-18" @default.
- W1664455877 title "Automatic detection of cerebral microbleeds via deep learning based 3D feature representation" @default.
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- W1664455877 doi "https://doi.org/10.1109/isbi.2015.7163984" @default.
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