-
Convert DICOM Files:
- Run
convert.sh
to convert DICOM files to NIfTI format and apply skull stripping. - You can revise the INPUT and OUTPUT PATH in the convert.sh
- Run
-
Set Up the Environment and Train the Model:
- Create the conda environment and activate it:
conda env create -f environment.yml conda activate anomaly_detection
- Execute
main.py
to train the feature autoencoder on the processed data.
- Create the conda environment and activate it:
-
Visualization:
- To visualize the results, run
Inference.py
.
- To visualize the results, run
-
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