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={Yefeng Zheng and David Liu and Bogdan Georgescu and Hien Van Nguyen and Dorin Comaniciu},
  booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2015}
}
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…

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