L2GNet: Optimal Local-to-Global Representation of Anatomical Structures for Generalized Medical Image Segmentation

Documenti analoghi

• Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation
  di: Gorade, Vandan, et al.
  Pubblicazione: (2024)
• Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation
  di: Gorade, Vandan, et al.
  Pubblicazione: (2023)
• OTCXR: Rethinking Self-supervised Alignment using Optimal Transport for Chest X-ray Analysis
  di: Gorade, Vandan, et al.
  Pubblicazione: (2024)
• PAM-UNet: Shifting Attention on Region of Interest in Medical Images
  di: Das, Abhijit, et al.
  Pubblicazione: (2024)
• MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
  di: Singh, Azad, et al.
  Pubblicazione: (2024)