Brain-Stroke-Detection

This project involves developing a system to detect brain strokes from medical images, such as CT or MRI scans. The system uses image processing and machine learning techniques to identify and classify stroke regions within the brain, aiming to provide early diagnosis and assist medical professionals in treatment planning. Maintained by shivamBasak on GitHub, where it has earned 31 stars from the community.

It's actively developed around cnn-keras, deep-learning, final-year-project, and is a solid reference for anyone building with these tools.