Detection of Tumors From MRI Brain Images Using CNN With Extensive Augmentation

Abstract

Brain tumor is one of the most hazardous and lethal cancers which require effective detection of tumors for diagnosis, here medical image information is extremely essential. Mostly used images are Magnetic Resonance Image (MRI) images which provide a greater differentiation of assorted body soft tissues. In this paper we propose Deep learning architecture, specially the Convolutional Neural Network (CNN) along with augmentation techniques has been developed for Automatic classification of MRI images under study into tumor or no tumor with supervised learning. The proposed system has three stages at first, brain tumor images are re-sized(normalized) into equal size for effective training of model. Next, extensive data augmentation is employed, avoiding the lack of data problem when dealing with classification. Finally building CNN model for image classification.