Automatic Brain Tumor Classification and Detection from MRI Images Using CNN

Brain tumor detection is a very important area of research as we know that brain tumors are a critical element related to the life of a person. Brain tumors needs to be identified timely and accurately. Detecting brain tumors on time is hugely significant as it can be a point of difference to an individual's life. We have proposed a work to get much clearer pictures of tumors. We are operating on MRI images, i.e., a dataset of the human brain. This dataset comprises of tumor and non-tumor MRI pictures, acknowledging a broad evaluation of brain anomalies. Visual Geometry Group (VGG-16) model is being used here. After doing testing brain tumors are classified into three distinct types: glioma, meningioma, and pituitary tumors. The different classes of tumors are valuable in making treatment plans to ensemble need of every patient.