Brain Tumor Detection Using Convolution Neural Network

Detecting brain tumor is an important aspect in medical diagnosis, as it greatly impacts patient outcomes. Convolutional neural network has done extraordinary improvements in image recognition methods. This study introduces a new CNN approach to improve the precision and efficiency of detecting Brain Tumor. The proposed method has a lot of stages that uses of machine learning. Initially, the images undergo a preprocessing step to standardize and normalize them. Then, a CNN architecture is developed and trained on a large dataset comprising both tumor and non-tumor MRI scans. The model is trained extensively with annotated data to learn distinctive features that differentiate between tumor and healthy brain tissues