Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features - Poll - MDSpire

Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features

  • By

  • Luis Carlos Rivera Monroy

  • Leonhard Rist

  • Christian Ostalecki

  • Andreas Bauer

  • Julio Vera

  • Katharina Breininger

  • Andreas Maier

  • October 7, 2024

  • 0 min

Share

Original Source(s)

Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features

  • by Luis Carlos Rivera Monroy, Leonhard Rist, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas Maier

  • October 7, 2024

Related Content

FDA Clears AI Guidance Tool for Mitral Repair

AI enhances real-time intraprocedural visualization and navigation.

AI in radiology and interventions: a structured narrative review of workflow automation, accuracy, and efficiency gains of today and what’s coming

The effects of prostate volume and PI-RADS category on optimal PSA-density thresholds for biopsy decision-making