eli1
A semantic multimodal segmentation challenge comprising 30 organs at risk
A segmentation challenge with 200 patients (two modalities of CT images, 45 OARs and 2 GTVs).
This challenge focuses on developing algorithms to automatically segment head and neck cancer gross tumor volumes on multi-timepoint MRI