Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology

Documenti analoghi

• Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
  di: Nahhas, Omar S. M. El, et al.
  Pubblicazione: (2024)
• Abnormality-Driven Representation Learning for Radiology Imaging
  di: Ligero, Marta, et al.
  Pubblicazione: (2024)
• Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
  di: Neidlinger, Peter, et al.
  Pubblicazione: (2024)
• In-context learning enables multimodal large language models to classify cancer pathology images
  di: Ferber, Dyke, et al.
  Pubblicazione: (2024)
• Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
  di: Lenz, Tim, et al.
  Pubblicazione: (2024)