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A single framework can seamlessly integrate multiple advanced segmentation techniques, revolutionizing how medical image analysis is conducted.
The landscape of deep learning optimizers is vast, but this paper cuts through the noise to reveal the fundamental trade-offs and promising future directions for efficient, robust, and trustworthy training.
