Organ Segmentation on MICCAI head and neck challenge 2015 (test)
58Chiasm DSCRen et al.
Evaluation results
| Method | Links | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ren et al.Model Type=Interleaved ConvNets, Prediction Scope=Small region of interest (ROI)2018.08 | 58 | — | — | 72 | 70 | — | — | — | — | — | |
| MICCAI 2015Description=Best result for each anatomy from the MICCAI 2015 challenge2018.08 | 55 | 88 | 93 | 62 | 62 | 84 | 84 | 78 | 78 | 76 | |
| AnatomyNetArchitecture=3D U-Net variant, Prediction Scope=Whole-volume slices2018.08 | 53.22 | 86.65 | 92.51 | 72.1 | 70.64 | 88.07 | 87.35 | 81.37 | 81.3 | 79.25 | |
| Fritscher et al.Model Type=Atlas based ConvNets2018.08 | 49 | — | — | — | — | 81 | 81 | 65 | 65 | — | |
| Wang et al.2018.08 | — | 90 | 94 | — | — | 83 | 83 | — | — | — |