A novel automated approach for brain tumor classification using MR Images

Authors

  • Sreenu Ponnada, Nagesh Vadaparthi, Sreerama Murthy Velaga, Srinivas Yarramalle, V Sahitya

Abstract

The technological advancements have paved a path for automated disease diagnosis using effective methods whose accuracy of the models far better compared to the earlier models. The researchers have been experimenting with various datasets and models. In this research work, a hybrid model of both generative and discriminative approaches is proposed for effectively detecting the tumor area and the stage of the disease. In this paper the FCM algorithm is used for clustering and Linear Regression Classifier for classification of the tumor into three different stages based on the affected area. The experimental results have yielded much better results in clustering and classification of the tumor.

Published

2020-11-01

Issue

Section

Articles