Advanced Deep Networks for 3d Mitochondria Instance Segmentation

@article{Li2022AdvancedDN,
  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={2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)},
  year={2022},
  pages={1-5}
}
  • Mingxing Li, C. Chen, Zhiwei Xiong
  • Published 16 April 2021
  • Computer Science
  • 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
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-UNet-H, 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… 
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