Ability of Artificial Intelligence to Identify Self-Reported Race in Chest X-Ray Using Pixel Intensity Counts
This notebook is used to convert a folder path of png images into a DataFrame of gray-scale value counts. Once this conversion is complete, it will save the file to CSV for the other notebook. Additional visualizations are displayed.
This notebook loads the gray-scale values and runs Keras-tuner to test hyper models, then run feed-forward network and decision tree tests.