• DOI:10.1007/978-3-319-24553-9_69
Corpus ID: 10187331

3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data

@inproceedings{Zheng20153DDL,
  title={3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data},
  author={Y. Zheng and D. Liu and B. Georgescu and Hien Nguyen and D. Comaniciu},
  booktitle={MICCAI},
  year={2015}
}

Y. Zheng, D. Liu, +2 authors D. Comaniciu

Published in MICCAI 2015

Computer Science

Recently, deep learning has demonstrated great success in computer vision with the capability to learn powerful image features from a large training set. [...] Key Method To mitigate the over-fitting issue, thereby increasing detection robustness, we extract small 3D patches from a multi-resolution image pyramid. The deeply learned image features are further combined with Haar wavelet features to increase the detection accuracy. The proposed method has been quantitatively evaluated for carotid artery…Expand Abstract

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