Complementary Decision Making System for Aiding Medical Image Diagnosis

Decision making is important in problem solving. Human makes decisions everyday rather effectively. This suggests that functionally model the decision making process could potentially offer a competent decision support system. Hence, a Complementary Decision Making System (CDMS), which functionally models the neural decision making in human visual perception, is proposed. It is applied as a clinical decision support system for medical image diagnosis. Its feasibility as a diagnostician´s adjunct is assessed in two experiments. The experimental results displayed CDMS as a promising tool for aiding medical image diagnosis.