Difference between revisions of "Publications/xu.17.icip.inc"

From LRDE

Line 97: Line 97:
   
 
=== Neonatal brain MR image segmentation ===
 
=== Neonatal brain MR image segmentation ===
  +
* Results on axial images at 40 weeks in NeoBrainS12 dataset. More results can be found [http://neobrains12.isi.uu.nl/mainResults_Set1.php Here]
 
 
[[File:Xu.17.icip-axial40results.jpg | 800 px]]
 
[[File:Xu.17.icip-axial40results.jpg | 800 px]]
   
  +
Qualitative results
 
 
[[File:Xu.17.icip-coronal30results.jpg | 800 px]]
 
 
 
 
[[File:Xu.17.icip-coronal40results.jpg | 800 px]]
 
 
 
 
<gallery>
 
<gallery>
 
File:Xu.17.icip-axialTest408Input.png
 
File:Xu.17.icip-axialTest408Input.png
Line 121: Line 113:
 
</gallery>
 
</gallery>
   
  +
  +
* Results on coronal images at 30 weeks in NeoBrainS12 dataset. More results can be found [http://neobrains12.isi.uu.nl/mainResults_Set2.php Here]
 
[[File:Xu.17.icip-coronal30results.jpg | 800 px]]
  +
  +
Qualitative results
 
<gallery>
 
<gallery>
 
File:Xu.17.icip-coronal30Test509Input.png
 
File:Xu.17.icip-coronal30Test509Input.png
Line 133: Line 130:
 
</gallery>
 
</gallery>
   
  +
  +
* Results on coronal images at 40 weeks in NeoBrainS12 dataset. More results can be found [http://neobrains12.isi.uu.nl/mainResults_Set3.php Here]
 
[[File:Xu.17.icip-coronal40results.jpg | 800 px]]
  +
  +
Qualitative results
 
<gallery>
 
<gallery>
 
File:Xu.17.icip-coronal40Test5021Input.png
 
File:Xu.17.icip-coronal40Test5021Input.png

Revision as of 12:00, 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. 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)
    • 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. Xu.17.icip-experiments.jpg

LOSO experiments

Quantitative results of LOSO experiments in terms of Dice coefficient as compared to the state-of-the-art results. The last one is from P. Moeskops et al. on the 15 test images in MRBrainS13 dataset. Xu.17.icip-losoresults.jpg

  • Qualitative results on axial images at 40 weeks in NeoBrainS12 dataset
  • Qualitative results on coronal at 30 weeks in NeoBrainS12 dataset
  • Qualitative results on aging adult at 70 ages in MRBrainS13 dataset

Neonatal brain MR image segmentation

  • Results on axial images at 40 weeks in NeoBrainS12 dataset. More results can be found Here

Xu.17.icip-axial40results.jpg

Qualitative results


  • Results on coronal images at 30 weeks in NeoBrainS12 dataset. More results can be found Here

Xu.17.icip-coronal30results.jpg

Qualitative results


  • Results on coronal images at 40 weeks in NeoBrainS12 dataset. More results can be found Here

Xu.17.icip-coronal40results.jpg

Qualitative results

Adult brain MR image segmentation

Xu.17.icip-adult70results.jpg