Adaptable Semi-Automated 3 D Segmentation Using Deep Learning with Spatial Slice Propagation

@inproceedings{Agerskov2019AdaptableS3,
  title={Adaptable Semi-Automated 3 D Segmentation Using Deep Learning with Spatial Slice Propagation},
  author={Niels Agerskov},
  year={2019}
}
Even with the recent advances of deep learning pushing the field of medical image analysis further than ever before, progress is still slow due to limited availability of annotated data. There are multiple reasons for this, but perhaps the most prominent one is the amount of time manual annotation of medical images takes. In this project a semi-automated algorithm is proposed, approaching the segmentation problem in a slice by slice manner utilising the prediction of a previous slice as a prior… CONTINUE READING

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