Difference between revisions of "Publications/xu.17.icip.inc"
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=== LOSO experiments === |
=== LOSO experiments === |
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==== Axial 40 weeks in NeoBrainS12 dataset ==== |
==== Axial 40 weeks in NeoBrainS12 dataset ==== |
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Revision as of 12:45, 6 February 2017
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.
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)
- Axial images acquired at 70 years: 5 training images + 15 test images
Materials
Illustrations
Experiments
Leave-One-Subject-Out (LOSO) cross-validation on N images + normal training/test experiments. Note that only one training image is used for LOSO 2.
LOSO experiments
Axial 40 weeks in NeoBrainS12 dataset
Coronal 30 weeks in NeoBrainS12 dataset
Aging adult at 60 ages in MRBrainS13 dataset
Neonatal brain MR image segmentation
Adult brain MR image segmentation