2 papers
cs.CV2025
ASM-UNet: Adaptive Scan Mamba Integrating Group Commonalities and Individual Variations for Fine-Grained Segmentation
Bo Wang, Mengyuan Xu, Yue Yan +6
Precise lesion resection depends on accurately identifying fine-grained anatomical structures. While many coarse-grained segmentation (CGS) methods have been successful in large-sc…
cs.CV2025
An Exceptional Dataset For Rare Pancreatic Tumor Segmentation
Wenqi Li, Yingli Chen, Keyang Zhou +6
Pancreatic NEuroendocrine Tumors (pNETs) are very rare endocrine neoplasms that account for less than 5% of all pancreatic malignancies, with an incidence of only 1-1.5 cases per 1…