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该数据集名为HAM,是一组用于皮肤病变分类的皮肤镜图像集合。与ISIC数据集相似,当与SAM数据集相比,其性能大约提升了7%,这表明更大的数据集可能通过特定训练带来更优的表现。该数据集的任务是对皮肤病变进行分割。

This dataset, named HAM, is a collection of dermoscopic images for skin lesion classification. Similar to the ISIC dataset, it achieves approximately a 7% performance improvement when compared against the SAM dataset, indicating that larger datasets may deliver better performance through targeted training. The task of this dataset is skin lesion segmentation.

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