Abstract
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.
Original language | English |
---|---|
Publication status | Published - 9 Aug 2017 |
Event | MICCAI Grand Challenge on iSeg-2017 : 6-month infant brain MRI Segmentation - Quebec City, Canada Duration: 14 Sept 2017 → 14 Sept 2017 http://iseg2017.web.unc.edu/ |
Conference
Conference | MICCAI Grand Challenge on iSeg-2017 : 6-month infant brain MRI Segmentation |
---|---|
Country/Territory | Canada |
City | Quebec City |
Period | 14/09/17 → 14/09/17 |
Internet address |