Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

@article{Moeskops2016AutomaticSO,
  title={Automatic Segmentation of MR Brain Images With a Convolutional Neural Network},
  author={Pim Moeskops and Max A. Viergever and Adri{\"e}nne Mendrik and Linda S. de Vries and Manon J Benders and Ivana I{\vs}gum},
  journal={IEEE Transactions on Medical Imaging},
  year={2016},
  volume={35},
  pages={1252-1261}
}
Automatic segmentation in MR brain images is important for quantitative analysis in large-scale studies with images acquired at all ages. This paper presents a method for the automatic segmentation of MR brain images into a number of tissue classes using a convolutional neural network. To ensure that the method obtains accurate segmentation details as well as spatial consistency, the network uses multiple patch sizes and multiple convolution kernel sizes to acquire multi-scale information about… Expand
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