Brain tumor detection and segmentation from MRI images using C | Artificial Intelligence
Brain tumor detection and segmentation from MRI images using CNN and Unet models.
The CNN model is used to detect whether a tumor is there or not. After 15 epochs of training, the calculated accuracy is about 99.6%. The U-net model is used to segment tumors in MRI images of the brain. After 10 epochs of training, the calculated accuracy is about 98%. These deep neural networks are implemented with Keras functional API. Use the trained models to detect and segment tumors on brain MRI images. The result is satisfactory.
You can download my U-net trained model from: "https://drive.google.com/drive/folders/1qt7l3HOGIwOguWsMKc5fuwG2NGiGOucf?usp=sharing" and CNN trained model from: "https://drive.google.com/drive/folders/1fXFzMwNG6HrbNp6-GASAgeybeSB3JWCd?usp=sharing".
This Channel is to spread knowledge on Artificial Intelligence.❤️. We are here to simplify and understand everything about Artificial Intelligence.🤖. Join us in this mission.❤️. Let’s Gro...