Enhancing Brain Tumor Detection Through CNN and Data Augmentation: A Comprehensive Study

Presently and precise identification of brain tumors can increase the chances of successful treatment, and may prevent the progression of the disease to a life-threatening stage. Deep learning plays a significant role in the field of medical and also used for detecting the diseases including brain tumor. MRI is a prominent technique and we use this to train our proposed models for brain tumor detection. The goal of this work is to detecting brain tumor with the help of the two proposed models, CNN and CNN with data Argumentation technique and compare these two proposed models and find the best model for detecting brain tumor. The experimental results show that CNN model with data Argumentation technique performed better than the CNN without data Argumentation technique with accuracy of 99.43%. whereas CNN model without data Argumentation technique achieved 98.98% accuracy.