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eess.IV2026
GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequences
Pengfei Song, Fangjin Liu, Wenwen Zeng +5
Contemporary glioma diagnosis integrates molecular features with histopathology to guide clinical decision-making. However, in clinical settings, divergent imaging protocols result…
cs.CV2026
Prompt Group-Aware Training for Robust Text-Guided Nuclei Segmentation
Yonghuang Wu, Zhenyang Liang, Wenwen Zeng +2
Foundation models such as Segment Anything Model 3 (SAM3) enable flexible text-guided medical image segmentation, yet their predictions remain highly sensitive to prompt formulatio…
cs.CV2026
MoEMambaMIL: Structure-Aware Selective State Space Modeling for Whole-Slide Image Analysis
Dongqing Xie, Yonghuang Wu
Whole-slide image (WSI) analysis is challenging due to the gigapixel scale of slides and their inherent hierarchical multi-resolution structure. Existing multiple instance learning…