Quantitative analysis of brain MRI at the age of 6 months is difficult because of the limited contrast between white matter and gray matter. In this study, we use a dilated triplanar convolutional neural network in combination with a non-dilated 3D convolutional neural network for the segmentation of white matter, gray matter and cerebrospinal fluid in infant brain MR images, as provided by the MICCAI grand challenge on 6-month infant brain MRI segmentation.
|Publication status||Published - 9 Aug 2017|
|Event||MICCAI Grand Challenge on iSeg-2017 : 6-month infant brain MRI Segmentation - Quebec City, Canada|
Duration: 14 Sep 2017 → 14 Sep 2017
|Conference||MICCAI Grand Challenge on iSeg-2017 : 6-month infant brain MRI Segmentation|
|Period||14/09/17 → 14/09/17|
Moeskops, P., & Pluim, J. P. W. (2017). Isointense infant brain MRI segmentation with a dilated convolutional neural network. Paper presented at MICCAI Grand Challenge on iSeg-2017 : 6-month infant brain MRI Segmentation, Quebec City, Canada. https://arxiv.org/pdf/1708.02757.pdf