Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation

@article{Ho2022PointUnetAC,
  title={Point-Unet: A Context-Aware Point-Based Neural Network for Volumetric Segmentation},
  author={Ngoc-Vuong Ho and Tan H. Nguyen and Gia-Han Diep and Ngan T. H. Le and Binh-Son Hua},
  journal={ArXiv},
  year={2022},
  volume={abs/2203.08964}
}
Medical image analysis using deep learning has recently been prevalent, showing great performance for various downstream tasks including medical image segmentation and its sibling, volumetric image segmentation. Particularly, a typical volumetric segmentation network strongly relies on a voxel grid representation which treats volumetric data as a stack of individual voxel ‘slices’, which allows learning to segment a voxel grid to be as straightforward as extending existing image-based… 

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