Upload unet_model.h5
Browse filesThe 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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version https://git-lfs.github.com/spec/v1
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oid sha256:8674ba558edc44f9be08ca79d94eb633c488c2c8bb06014e02bbe5f628d4e929
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size 637233872
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