Published Paper Details:

Brain tumors are growths of nerves that don't work right in the brain. They make it hard for the brain to do regular things. It's caused the deaths of many people. To keep from getting this sickness, people need to be able to get the right care and find it quickly. Finding brain cells that have been damaged by tumors is hard and takes a lot of time. On the other hand, picture processing has a lot of problems when it comes to how well and how quickly it can find brain cancers. This study paper describes a new, better, and more accurate way to find brain cancers. The improved convolution neural network (CNN) method helps us pick the best features by using grey wolf and whale optimization. Brain cancer can be found with the CNN algorithm. This system checks its performance against another optimization method that is already out there and says that its work is better based on factors like precision, accuracy, and memory. Python is the computer language that was used to make this system. This improved method has been shown to find brain cancers 98.9% of the time.