European Journal of Molecular & Clinical Medicine

The abnormal growth of skin cells is skin cancer. Early skin cancer diagnosis is important. The dermoscopic images of the watershed algorithm are presented for the detection of skin cancer. The Gaussian philtre eliminates unnecessary areas of the skin. Then normal and abnormal pictures of the pre-processed skin cancer segment are provided to the water-shifting algorithm. The findings demonstrate the efficacy of a method for classifying skin cancer using a watershed algorithm.

Plasmodium is a type of unicellular eukaryote compulsory for vertebrates or insect parasites. The early diagnosis is required for malaria. In this study, the automatic classification of malaria system is discussed. Initially, the input images are given to gaussian filter, then energy feature is used for feature extraction and K-Nearest Neighbor (KNN) classifier is used for classification. The performance of malaria system produces the specificity of classification 93%using KNN classifier.