3260 papers • 126 benchmarks • 313 datasets
Brain Tumor Segmentation is a medical image analysis task that involves the separation of brain tumors from normal brain tissue in magnetic resonance imaging (MRI) scans. The goal of brain tumor segmentation is to produce a binary or multi-class segmentation map that accurately reflects the location and extent of the tumor. ( Image credit: Brain Tumor Segmentation with Deep Neural Networks )
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