TUSC

该数据集名为TUSC，主要用于评估不同深度学习模型在超声分割任务中的表现。在TUSC数据集上，这些模型的平均Dice得分约为68%，其中CMU-Net模型取得了最高的得分，达到了74.41%。该任务专注于超声分割。

The dataset is named TUSC, which is primarily used to evaluate the performance of various deep learning models on ultrasound segmentation tasks. On the TUSC dataset, the average Dice score of these models is approximately 68%, among which the CMU-Net model achieved the highest score, reaching 74.41%. This task focuses on ultrasound segmentation.