Tumor Segmentation

Tumor segmentation is a crucial task in medical image analysis, aiming to identify the spatial location of tumors through pixel-level prediction and classify each pixel as either tumor or background. This task is of great significance for precise diagnosis and treatment planning, and the BraTS dataset is the most commonly used benchmark platform, with model performance typically evaluated using the Dice score.