<ul data-eligibleForWebStory="false"><li>Vascular segmentation in medical images is crucial for disease diagnosis and surgical navigation.</li><li>A new model called Serpentine Window Mamba (SWinMamba) has been proposed to improve the accuracy of vascular segmentation.</li><li>SWinMamba utilizes serpentine window sequences to capture features and improve global visual context modeling for vascular structures.</li><li>Extensive experiments showed that SWinMamba outperformed existing methods in achieving complete and connected vessel segmentation.</li></ul>

SWinMamba: Serpentine Window State Space Model for Vascular Segmentation

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