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cs.CV2025
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
Hongjie Zhu, Xiwei Liu, Rundong Xue +5
In the era of information explosion, efficiently leveraging large-scale unlabeled data while minimizing the reliance on high-quality pixel-level annotations remains a critical chal…
cs.CV2024★ 3 cited
SegStitch: Multidimensional Transformer for Robust and Efficient Medical Imaging Segmentation
Shengbo Tan, Zeyu Zhang, Ying Cai +5
Medical imaging segmentation plays a significant role in the automatic recognition and analysis of lesions. State-of-the-art methods, particularly those utilizing transformers, hav…