Brain Tumor Detection using MRI Images and Convolutional Neural Network

A brain tumor is the cause of abnormal growth cells in brain. Magnetic resonance imaging (MRI) most practical method for detecting tumors. Through these MRIs, doctors analyze and identify tissue can confirm whether affected by a or not. Today, with emergence artificial intelligence techniques, detection tumors done applying techniques algorithms machine learning deep learning. The advantages application are quick prediction tumors, fewer errors, greater precision, which help decision-making choosing appropriate treatment patients. In proposed work, convolution neural network (CNN) applied aim presence its performance analyzed. main purpose this article to adopt approach convolutional networks as technique perform classification. Based on training testing results, pre-trained architecture model reaches 96% precision classification accuracy rates. For given dataset, CNN proves be better predicting