A project for segmenting buildings in satellite images using the U-Net architecture. Includes data preprocessing, model training, and evaluation scripts, along with preprocessed datasets and trained models.
A comprehensive deep learning project for detecting and segmenting brain diseases, particularly tumors, in MRI scans using multiple state-of-the-art architectures including U-Net and Meta's Segment Anything Model (SAM).
U-Net for MRI segmentation.
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