ERANet: Edge Replacement Augmentation for Semi-Supervised Meniscus Segmentation with Prototype Consistency Alignment and Conditional Self-Training

Documents similaires

• A Systematic Post-Processing Approach for Quantitative $T_{1ρ}$ Imaging of Knee Articular Cartilage
  par: Zhong, Junru, et autres
  Publié: (2024)
• Utilizing 3D Fast Spin Echo Anatomical Imaging to Reduce the Number of Contrast Preparations in $T_{1ρ}$ Quantification of Knee Cartilage Using Learning-Based Methods
  par: Zhong, Junru, et autres
  Publié: (2025)
• Utilizing 3D fast spin echo anatomical imaging to reduce the number of contrast preparations in T1ρ$$ {T}_{1\rho } $$ quantification of knee cartilage using learning‐based methods
  par: Junru Zhong, et autres
  Publié: (2025)
• DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation
  par: Liu, Bo, et autres
  Publié: (2025)
• Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics
  par: Yao, Yongcheng, et autres
  Publié: (2024)