Can TotalSegmentator segment maxillofacial CT as well?

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Sure! :slight_smile:

The steps are the following:

  1. Create a Python env and install MONAI Label
    pip install monailabel
  2. Download the apps: radiology and/or monaibundle
    monailabel apps --download --name monaibundle --output ./
  3. Within the app folder, execute the main Python file specifying the model and folder where the image(s) are located
    Example command for the radiology app:
    python main.py -s /tmp/MONAILabelTest/sampleTest/ --model segmentation --test infer
  4. show the predictions saved in test_labels folder

Here I created two videos showing how this can be done. I assumed the env with MONAI Label is already created.

For the radiology app:

For the monaibundle app:

In addition to the typical MONAI Label models (deepedit, segmentation, vertebra), users can also run the following models from the Model Zoo:

spleen_ct_segmentation 
pancreas_ct_dints_segmentation 
spleen_deepedit_annotation 
swin_unetr_btcv_segmentation 
renalStructures_UNEST_segmentation 
wholeBrainSeg_Large_UNEST_segmentation 
prostate_mri_anatomy 
lung_nodule_ct_detection 
wholeBody_ct_segmentation

Please let me know your thoughts. Happy to explain more about any of the steps presented here in the videos.