Image Segmentation using Mask R CNN with PyTorch

This project leverages deep learning to enhance brain tumor detection and segmentation using Mask R-CNN. By fine-tuning on medical imaging datasets, it improves diagnostic accuracy and reduces manual effort, offering a reliable tool for clinical decision-making.

• The model detects and segments brain tumors using Mask R-CNN.

• It generates accurate tumor masks and bounding boxes.

• Fine-tuned from a pre-trained Mask R-CNN, improving detection efficiency.

• Evaluated on the validation set, achieving good segmentation performance.

• Predictions are visualized with tumor masks overlaid on images.

• Demonstrates deep learning's potential in automating medical image analysis.

• Provides a reliable tool for early-stage brain tumor detection.

• Ensures robustness with data augmentation and fine-tuning.

• Serves as a foundation for real-world clinical deployment.