Skip to content

Latest commit

 

History

History
12 lines (9 loc) · 927 Bytes

readme.md

File metadata and controls

12 lines (9 loc) · 927 Bytes

Supplementary materials

The files in this folder are the test results on the CT image No.0 in the test data set of Medical Segmentation Decathlon (file imagesTr/liver_0.nii.gz in Task03_Liver.tar). The 3D images were displayed as videos along the Z axis.

  • input.mp4: the raw CT image (selected part with liver only)
  • labels.mp4: the groud truth segmentation label (mask) for this image
  • predictions.mp4: the label prediction on this CT image by the trained network (along Z axis)
  • pred_axis0.mp4: the predicted label along X axis
  • pred_axis1.mp4: the predicted label along Y axis
  • pred_final.mp4: the fused label of the three directions

Since the network was trained only on Z axis, the results for X and Y axes are not accurate. This fusion result is just an explanation of the idea.