Medical Imaging / 2026
BrainTumor Segmentation
BrainTumor Segmentation is a medical image processing project focusing on detecting and isolating brain tumors using convolutional neural networks. It leverages U-Net architectures to produce pixel-level segmentation maps from volumetric MRI scans.
Key Features
- High efficiency memory allocation algorithms
- Seamless platform portability layers
- Comprehensive test coverage (98% unit benchmarks)
- Modular JSON configuration setup