Tumor Segmentation

Tumor Segmentation is a crucial task in the field of computer vision, aiming to identify the spatial location of tumors through pixel-level prediction, where each pixel is classified as either tumor or background. This task is of great significance for precision medicine and the development of personalized treatment plans. The BraTS dataset is the most commonly used benchmark for this purpose, and model performance is typically evaluated using the Dice Score.