This tutorial is adapted from Point cloud classification with PointNet with TensorFlow and Keras.
Here, we use Intraoperative motion data from an ultrasound-guided prostate intervention, for a motion detection problem. The clinical background can be found in the MPHY0030 SSM tutorial.
First download the simulated motion data by running the script in the mphy0043 conda env:
conda activate mphy0043
python download_data.py
The run the motion classification script:
python motion_classification.py