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De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation

Xu, Qing et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionimage-and-video-processing
The universality of deep neural networks across different modalities and their generalization capabilities to unseen domains play an essential role in medical image segmentation. The recent segment anything model (SAM) has demonstrated strong adaptability across diverse natural scenarios. However, t
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