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 Nguyen and Dorin Comaniciu},
  booktitle={MICCAI},
  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. However, most of the published work has been confined to solving 2D problems, with a few limited exceptions that treated the 3D space as a composition of 2D orthogonal planes. The challenge of 3D deep learning is due to a much larger input vector, compared to 2D, which dramatically increases the computation time and the chance of over-fitting… CONTINUE READING
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