Automatic liver tumor segmentation in follow-up CT studies using Convolutional Neural Networks

@inproceedings{Vivanti2015AutomaticLT,
  title={Automatic liver tumor segmentation in follow-up CT studies using Convolutional Neural Networks},
  author={Refael Vivanti and Ariel Ephrat and Leo Joskowicz and Onur A. Karaaslan and Naama Lev-Cohain and Jacob Sosna},
  year={2015}
}
We present a new, fully automatic algorithm for liver tumors segmentation in follow-up CT studies. The inputs are a baseline CT scan and a delineation of the tumors in it and a follow-up scan; the outputs are the tumors delineations in the follow-up CT scan. The algorithm consists of four steps: 1) deformable registration of the baseline scan and tumors delineations to the followup CT scan; 2) automatic segmentation of the liver; 3) training a Convolutional Neural Network (CNN) as a voxel… CONTINUE READING

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