MedAI- Graph-Based Modeling in Computational Pathology - Siyi Tang

MedAI- Graph-Based Modeling in Computational Pathology - Siyi Tang

Stanford MedAI via YouTube Direct link

Introduction

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1 of 40

Introduction

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Classroom Contents

MedAI- Graph-Based Modeling in Computational Pathology - Siyi Tang

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  1. 1 Introduction
  2. 2 Outline
  3. 3 Spectral networks
  4. 4 Spatial networks
  5. 5 Computational pathology
  6. 6 Cell graphs
  7. 7 Cell graph convolutional network
  8. 8 Method overview
  9. 9 Cell graph construction
  10. 10 What is graph adaptive glossage
  11. 11 What is adaptive glossage
  12. 12 Node embedding
  13. 13 Graph clustering
  14. 14 Graph class
  15. 15 Concatenation
  16. 16 Experiments
  17. 17 Cluster assignments
  18. 18 Cluster interpretation
  19. 19 Cancer grading
  20. 20 Nuclear sampling
  21. 21 Overview
  22. 22 Graph construction
  23. 23 Graph new network
  24. 24 Quick question
  25. 25 Paper
  26. 26 Drawbacks
  27. 27 Posthoc graph expanders
  28. 28 Histograms
  29. 29 Separability Score
  30. 30 Aggregate
  31. 31 Final Score
  32. 32 Risk Score
  33. 33 Data Set
  34. 34 Qualitative Assessment
  35. 35 Quantitative Assessment
  36. 36 Personal takeaways
  37. 37 Domain expertise
  38. 38 Explanation explainers
  39. 39 Graph neighborhood sampling
  40. 40 Questions

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