Detecting Brain Tumor Using CNN
The experimental findings show that the suggested CNN model obtained 98.98% accuracy after running numerous tests with different random states and batch sizes.
Abstract
Brain tumor represent some of the most difficult diseases to cure in modern medicine. An exact and prompt detection of a brain tumor is required for proper analysis. Deep learning advances can help radiologists diagnose tumours without resorting to risky therapies. Deep learning is now the most demanding technology for assisting medical researchers by boosting MRI image interpretation and training speed and accuracy. The purpose of this research is to recognise brain tumor with a suggested approach based on CNN architecture. The experimental findings show that the suggested CNN model obtained 98.98% accuracy after running numerous tests with different random states and batch sizes.