A Review on Classification of Malignant Cells

Abstract

This paper is an attempt to review the reasons and impact of misdiagnosis or delayed diagnosis of malignant cells. In the course of action various reported work was studied and discovered that various imaging techniques help in visual diagnosis where the knowledge of expert is also required for early and accurate diagnosis. Various image segmentation methods are used to extract skin lesions. Classifiers like FCCI, SVM, K-means, Decision Tree and Boosted Tree were used for classification along with neural networks. Deep Learning Algorithms have demonstrated special existence in increasing accuracy of diagnosis of Malignant cells.