SECoS, Accuracy of Skin Cancer Image Classification
SECoS has the best performance compared to other methods such as probabilistic neural network (PNN) and support vector machine (SVM) in terms of false negative,” explained Mr. Suherman, S.T., M.Comp., Ph.D. Therefore, it is proven that SECoS is more robust in dealing with changes in error patterns and input data variations.