3D MRU-Net: A novel mobile residual U-Net deep learning model for spine segmentation using computed tomography images

Muhammad Usman Saeed, Bin Wang 0017, Jinfang Sheng, Ghulam Ali, Aqsa Dastgir. 3D MRU-Net: A novel mobile residual U-Net deep learning model for spine segmentation using computed tomography images. Biomed. Signal Proc. and Control, 86(Part A):105153, September 2023. [doi]

@article{SaeedWSAD23,
  title = {3D MRU-Net: A novel mobile residual U-Net deep learning model for spine segmentation using computed tomography images},
  author = {Muhammad Usman Saeed and Bin Wang 0017 and Jinfang Sheng and Ghulam Ali and Aqsa Dastgir},
  year = {2023},
  month = {September},
  doi = {10.1016/j.bspc.2023.105153},
  url = {https://doi.org/10.1016/j.bspc.2023.105153},
  researchr = {https://researchr.org/publication/SaeedWSAD23},
  cites = {0},
  citedby = {0},
  journal = {Biomed. Signal Proc. and Control},
  volume = {86},
  number = {Part A},
  pages = {105153},
}