Robust machine learning algorithms for tumor identification require ground truth data sets. Ground truth data sets require expert input, are difficult and inefficient to produce. Feature Manipulation Engine (FME) allows for specific and complex data manipulation. We have created an FME workflow to produce simulated tumors that resemble realistic gliomas as rated by experts.
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