Abstract: The Segment Anything Model (SAM) has demonstrated remarkable capabilities in its performance on natural images. However, it faces considerable challenges when applied to medical datasets.
Abstract: Large-scale, big-variant, high-quality data are crucial for developing robust and successful deep-learning models for medical applications since they potentially enable better generalization ...
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