Heat Maps

CAD increases the consistency of interpretation of a single radiologist and of a group of radiologists. Heat maps provide a method for data visualization that clarifies the effects of reader variability in ROC CAD experiments. We demonstrated how heat maps can be used to document the complexity of reader variability and suggested how clustering can reveal both nonintuitive and intuitive groupings of cases, readers, and the interaction of both with CAD.