HUR-MACL: High-Uncertainty Region-Guided Multi-Architecture Collaborative Learning for Head and Neck Multi-Organ Segmentation

Documenti analoghi

• Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation
  di: Liu, Xiaoyu, et al.
  Pubblicazione: (2024)
• ME-Mamba: Multi-Expert Mamba with Efficient Knowledge Capture and Fusion for Multimodal Survival Analysis
  di: Zhang, Chengsheng, et al.
  Pubblicazione: (2025)
• FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation
  di: Liu, Zijiang, et al.
  Pubblicazione: (2024)
• Advancing H&E-to-IHC Stain Translation in Breast Cancer: A Multi-Magnification and Attention-Based Approach
  di: Qu, Linhao, et al.
  Pubblicazione: (2024)
• Head and Neck Tumor Segmentation for MR-Guided Applications
  Pubblicazione: (2025)