Style Transfer Augmentations for Computational Pathology - Rikiya Yamashita

Style Transfer Augmentations for Computational Pathology - Rikiya Yamashita

Stanford MedAI via YouTube Direct link

Introduction

1 of 27

1 of 27

Introduction

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Style Transfer Augmentations for Computational Pathology - Rikiya Yamashita

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  1. 1 Introduction
  2. 2 Rikiya Introduction
  3. 3 Computational Pathology
  4. 4 Batch Effect
  5. 5 Motivation
  6. 6 Domain adaptation
  7. 7 Single domain generalization
  8. 8 Like a
  9. 9 Texture bias
  10. 10 Recap
  11. 11 Method
  12. 12 Classification
  13. 13 Results
  14. 14 Style Transfer
  15. 15 Comparison
  16. 16 stylization coefficient
  17. 17 test data set
  18. 18 another paper
  19. 19 fastfree transformation
  20. 20 salience maps
  21. 21 identification
  22. 22 model performance
  23. 23 future work
  24. 24 texture vs shape bias
  25. 25 Yaxis
  26. 26 Questions
  27. 27 Discussion

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