Publications/xu.17.icip.inc

From LRDE

Revision as of 12:30, 6 February 2017 by Xu (talk | contribs) (Datasets)

Method and datasets

Method

Architecture of the proposed network. We fine tune it and combine linearly fine to coarse feature maps of the pre-trained VGG network. The coarsest feature maps are discarded for the adult images. Xu.17.icip-pepeline.png

Datasets

  • Dataset of the MICCAI challenge of Neonatal Brain Segmentation 2012 (NeoBrainS12)
    • Axial images acquired at 40 weeks: 2 training images + 5 test images
    • Coronal images acquired at 30 weeks: 2 training images + 5 test images
    • Coronal images acquired at 40 weeks: 5 test images
  • Dataset of the MICCAI challenge of MR Brain Image Segmentation (MRBrainS13)

Materials

Illustrations

Experiments

Xu.17.icip-experiments.jpg

LOSO experiments

Axial 40 weeks in NeoBrainS12 dataset

Xu.17.icip-losoresults.jpg


Coronal 30 weeks in NeoBrainS12 dataset

Aging adult at 60 ages in MRBrainS13 dataset

Neonatal brain MR image segmentation

Xu.17.icip-axial40results.jpg


Xu.17.icip-coronal30results.jpg


Xu.17.icip-coronal40results.jpg


Adult brain MR image segmentation

Xu.17.icip-adult70results.jpg