Advanced Brain Tumor Segmentation and Detection using YOLOv8

The state-of-the-art YOLOv8 deep learning model is used in this project to change how brain tumors are found and grouped in MRI scans. YOLOv8 can now tell the difference between brain tumors of different stages and types better since these changes were made. This method finds tumors faster and more accurately than any other when it is trained with a large dataset. Today, AI is being used in a new way to make medical image analysis for diagnosis more accurate and faster. It changes how doctors look at images of people's bodies and how they decide what's wrong. This change will not only make things easier to use, but it will also help find the problem faster and start targeted treatments more quickly. Since YOLOv8 was added to the diagnostic process, AI has been used in medical analysis more. That helps radiologists do their jobs better and gives other health care facilities high-level information about diagnoses. This could help fill in the gaps in medical knowledge, especially in places that aren't as well developed. All over the world, this would make health care practices easier.