A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI

@article{Toledo2021ASO,
  title={A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI},
  author={Marcelo Toledo and Daniel Lima and Jos{\'e} Eduardo Krieger and Marco Antonio Gutierrez},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.01318}
}
CNN (Convolutional Neural Network) models have been successfully used for segmentation of the left ventricle (LV) in cardiac MRI (Magnetic Resonance Imaging), providing clinical measurements. In practice, two questions arise with deployment of CNNs: 1) when is it better to use a shallow model instead of a deeper one? 2) how the size of a dataset might change the network performance? We propose a framework to answer them, by experimenting with deep and shallow versions of three U-Net families… Expand

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