• Corpus ID: 233289586

Advanced Deep Networks for 3D Mitochondria Instance Segmentation

@article{Li2021AdvancedDN,
  title={Advanced Deep Networks for 3D Mitochondria Instance Segmentation},
  author={Mingxing Li and Chang Wen Chen and Xiaoyu Liu and Wei Huang and Yueyi Zhang and Zhiwei Xiong},
  journal={ArXiv},
  year={2021},
  volume={abs/2104.07961}
}
Mitochondria instance segmentation from electron microscopy (EM) images has seen notable progress since the introduction of deep learning methods. In this paper, we propose two advanced deep networks, named Res-UNet-R and Res-UNetH, for 3D mitochondria instance segmentation from Rat and Human samples. Specifically, we design a simple yet effective anisotropic convolution block and deploy a multi-scale training strategy, which together boost the segmentation performance. Moreover, we enhance the… 
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