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Brain Tumour Detection on MRI images using Artificial Intelligence
Brain Tumour Detection on MRI images using Artificial Intelligence
R RAJESH, MAHENDRA KUMAR B
Department of MCA, Dayananda Sagar College of Engineering
Department of MCA, Dayananda Sagar College of Engineering
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Abstract - Tumours cause the second most cancer in the world. Cancer endangers many sufferers. Medical professionals require a rapid, automated, efficient, and reliable approach to detect brain tumours. Early detection is key. Early tumour detection may save a patient's life. This application uses image-processing techniques. This technology has saved numerous cancer patients' lives. Uncontrollable cell development causes tumours. Brain tumour cells may eat all the nutrients meant for healthy cells and tissues, causing brain failure. Clinicians utilise MRI pictures of the patient's brain to locate and measure tumours. As a result, detecting the tumour is difficult and time-consuming. Tissue tumours proliferate uncontrollably. Deep Learning architectures like as CNN, NN, and VGG 16 may be used to identify brain tumours (visual geometry group). Effective models reliably estimate if an image has a tumour. If there's a tumour, yes; otherwise, no.
Key Words: Brain tumour, MRI, CNN, VGG-16, detection.
