The evolution of these methods demonstrates a clear trend: moving away from purely accuracy-driven, computationally heavy models (like standard ViTs) towards architectures that strike an optimal balance between performance, inference speed, and annotation efficiency.
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Efficient Medical Image Segmentation in Multisensor Imaging: A Survey in the Era of Mamba and Foundation Models.
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