Features Deep Learning Model: Utilizes a CNN-based approach for brain tumor segmentation. Preprocessing Pipeline: Includes image resizing, normalization, and augmentation. Post-processing: Applies Gaussian smoothing and morphological operations to refine segmentation masks. Visualization: Displays predicted masks and overlays them on MRI images. Web App: Provides a simple UI for uploading and processing MRI scan Future Enhancements Improve model accuracy with a larger dataset. Deploy the model using cloud services (AWS/GCP). Build a real-time tumor detection system.
BrainCare AI
This project focuses on detecting and segmenting brain tumors using deep learning models. The goal is to accurately predict tumor regions in MRI scans and visualize them effectively.
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