HyperDense-Net: A densely connected CNN for multi-modal image segmentation

@inproceedings{Dolz2017HyperDenseNetAD,
  title={HyperDense-Net: A densely connected CNN for multi-modal image segmentation},
  author={Jose Dolz and Ismail Ben Ayed and Jing Yuan and Christian Desrosiers},
  year={2017}
}
Neonatal brain segmentation in magnetic resonance (MR) is a challenging problem due to poor image quality and low contrast between white and gray matter regions. Most existing approaches for this problem are based on multi-atlas label fusion strategies, which are time-consuming and sensitive to registration errors. As alternative to these methods, we propose a hyper-densely connected 3D convolutional neural network that employs MR-T1 and T2 images as input, which are processed independently in… CONTINUE READING
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