BRAIN TUMOR SEGMENTATION USING CNN

Goli Shivani
Department of Electronics and Computer Engineering
Sreenidhi Institute of Science and Technology
Hyderabad, India

Nagamalla Harini
Department of Electronics and Computer Engineering
Sreenidhi Institute of Science and Technology
Hyderabad, India

Muthyala Koumudhi
Department of Electronics and Computer Engineering
Sreenidhi Institute of Science and Technology
Hyderabad, India

Eddu Srinivasa Rao
Department of Electronics and Computer Engineering
Sreenidhi Institute of Science and Technology
Hyderabad, India

Abstract – Brain tumors are the most common issue in children. Now-a-days number of patients suffering from brain tumor has been increasing.Human body consist of many number of cells.Each cell divide into different number of cells to form sub cells.These subcells are also necessary for body health.If these sub cells form without any shape,then it forms tumor cells.Tumor cells are the extra cells in our body.Tumor cells are of two types.They are high grade tumor and low grade tumor.High Grade Tumor refers to Malignant Tumor which is cancerous .Low Grade Tumor is benign tumor which is non cancerous tumor. Earlier cerebrum cancer segmentation is done by doctors.but it is time taking process and we need to depend on Human skills.hence cerebrum cancer segmentation using machine learning is introduced.but in machine learning methods we need to explicitly extract features.hence we now moved to cerebrum cancer segmentation using Convolution Neural Network is introduced.In convolution neural network accuracy is high because of Back Propagation method.Hence In this work we used Brain Tumor Detection Using Convolution Neural Network (CNN).

Keywords - CNN, Tumor Segmentation, Deep learning.