True Positive (TP):	The original image was abnormal, and the model prediction was also abnormal.
False Negative (FN):	The original image was abnormal, but the model predicted it as normal.
True Negative (TN):	The original image was normal, and the model prediction was also normal.
False Positive (FP):	The original image was normal, but the model predicted it as abnormal.