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Tumor Segmentation

10-shot image generation › Semantic Segmentation › Tumor Segmentation 5 평가 기록 4 datasets

Tumor Segmentation is the task of identifying the spatial location of a tumor. It is a pixel-level prediction where each pixel is classified as a tumor or background. The most popular benchmark for this task is the BraTS dataset. The models are typically evaluated with the Dice Score metric.

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The ULS23 Challenge Test Set BUS 2017 Dataset B DigestPath LiTS17