BRAIN TUMOR DETECTION USING CNN









Abstract

A brain tumor is a growth of abnormal cells in the brain, some of which can lead to cancer. Magnetic resonance imaging (MRI) scan is the most common way to detect brain tumors. from MRI images Information about abnormal tissue growth in the brain is identified. In various research papers, Brain tumor detection is done by applying machine learning and deep learning algorithms. when Algorithms are applied to MRI images make brain tumor prediction is much faster and higher Accuracy helps in providing treatment to the patients. These predictions also help radiologists in quick decision making. In the proposed work, a self-defined artificial neural network (ANN) and Convolutional neural network (CNN) are applied to detect the presence and performance of brain tumors analysis is done.


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Software And Hardware