Infant brain segmentation based on a combination of VGG-16 and U-Net deep neural networks

Sadegh Pasban, Sajad Mohamadzadeh, Javad Zeraatkar Moghaddam, Amir Keivan Shafiei. Infant brain segmentation based on a combination of VGG-16 and U-Net deep neural networks. IET Image Processing, 14(17):4756-4765, 2020. [doi]

@article{PasbanMMS20,
  title = {Infant brain segmentation based on a combination of VGG-16 and U-Net deep neural networks},
  author = {Sadegh Pasban and Sajad Mohamadzadeh and Javad Zeraatkar Moghaddam and Amir Keivan Shafiei},
  year = {2020},
  doi = {10.1049/iet-ipr.2020.0469},
  url = {https://doi.org/10.1049/iet-ipr.2020.0469},
  researchr = {https://researchr.org/publication/PasbanMMS20},
  cites = {0},
  citedby = {0},
  journal = {IET Image Processing},
  volume = {14},
  number = {17},
  pages = {4756-4765},
}