Isointense infant brain MRI segmentation with a dilated convolutional neural network

P. Moeskops, J.P.W. Pluim

Onderzoeksoutput: Bijdrage aan congresPaper

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Samenvatting

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.
Originele taal-2Engels
StatusGepubliceerd - 9 aug 2017
EvenementMICCAI grand challenge on 6-month infant brain MRI segmentation - Quebec City, Canada
Duur: 14 sep 201714 sep 2017
http://iseg2017.web.unc.edu/

Congres

CongresMICCAI grand challenge on 6-month infant brain MRI segmentation
Land/RegioCanada
StadQuebec City
Periode14/09/1714/09/17
Internet adres

Bibliografische nota

MICCAI grand challenge on 6-month infant brain MRI segmentation

Trefwoorden

  • cs.CV

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