Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning

Documenti analoghi

• Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation
  di: Yang, Sihan, et al.
  Pubblicazione: (2024)
• pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
  di: Wang, Tong, et al.
  Pubblicazione: (2025)
• Rethinking Query-based Transformer for Continual Image Segmentation
  di: Zhu, Yuchen, et al.
  Pubblicazione: (2025)
• SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
  di: Zhang, Yichi, et al.
  Pubblicazione: (2025)
• MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation
  di: Tian, Peiting, et al.
  Pubblicazione: (2025)