Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification

Documenti analoghi

• Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation
  di: Moustafa, Wesam, et al.
  Pubblicazione: (2026)
• Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise
  di: Geng, Zibin, et al.
  Pubblicazione: (2026)
• Contrastive-Based Deep Embeddings for Label Noise-Resilient Histopathology Image Classification
  di: Dedieu, Lucas, et al.
  Pubblicazione: (2024)
• From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation
  di: Wang, Tao, et al.
  Pubblicazione: (2025)
• ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels
  di: Cordeiro, Filipe R., et al.
  Pubblicazione: (2024)