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The UNet++ model is a state-of-the-art medical image segmentation architecture designed to analyze brain scans and precisely delineate potential harmful tumors. By producing pixel-wise segmentation maps, it highlights abnormal regions in MRI data, assisting radiologists in early detection, diagnosis, and treatment planning.
This practical implementation focuses specifically on brain tumor imaging, providing a reliable tool to support faster, more accurate clinical workflows and reduce diagnostic workload.

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