Isointense infant brain MRI segmentation with a dilated convolutional neural network

نویسندگان

  • Pim Moeskops
  • Josien P. W. Pluim
چکیده

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.

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عنوان ژورنال:
  • CoRR

دوره abs/1708.02757  شماره 

صفحات  -

تاریخ انتشار 2017