Eco Vision: Brain Tumor Detection Based on MRI Using Deep Learning

These days, tumors come in second most frequently reported causes of cancer. Cancer puts a lot of patients in jeopardy. The medical field requires speedy, automatic, well-organized, and efficient approaches to detect malignancies, including brain tumors. The ability to detect is crucial to treatment. When a tumor is correctly identified, medical professionals protect their patients. Several image processing methods are used in this application. By using this application, doctors may treat patients correctly and lower the number of patients with tumors. All that a tumor is is an excess of cells that proliferate uncontrollably. Because brain tumor cells multiply so quickly, they effectively take all the nutrients meant for healthy cells and tissues. This leads to the identification of brain tumors via transfer learning (geometry group). The task of the model's performance is to forecast whether or not a tumor will show up in an image.