Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

[2018 台灣人工智慧學校校友年會] 人工智慧與醫療應用 / 王淳恆

1,144 views

Published on

王淳恆 / 沐恩生醫光電股份有限公司技術長

Published in: Data & Analytics
  • Be the first to comment

[2018 台灣人工智慧學校校友年會] 人工智慧與醫療應用 / 王淳恆

  1. 1. Explainable Medical AI 王淳恆, Andrew Wang 沐恩生醫 CTO
  2. 2. 2017/7
  3. 3. 2018/5
  4. 4. 2018/8 DeepMind
  5. 5. Why AI? Why Now? In Medical
  6. 6. Which picture is took by iPhone 6, HTC One or Samsung Galaxy S4?
  7. 7. Which picture is took by iPhone 6, HTC One or Samsung Galaxy S4? Accuracy about 97% In Kaggle
  8. 8. Camera Model Identification • The different Camera Model has different processing pipeline • The different processing pipeline has the different Noise
  9. 9. But, is AI Black Box?
  10. 10. Explainable AI
  11. 11. Explainable Medical AI • Grad-CAM for Diabetic Retinopathy Detection • SHAP for Gene Expression Prediction
  12. 12. Explainable Medical AI • Grad-CAM for Diabetic Retinopathy Detection • SHAP for Gene Expression Prediction
  13. 13. Diabetic Retinopathy Detection Ref: https://www.kaggle.com/c/diabetic-retinopathy-detection
  14. 14. 0.806 (#11) Google 0.850
  15. 15. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ref: https://arxiv.org/pdf/1610.02391.pdf Input Cat Dog
  16. 16. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ref: https://arxiv.org/pdf/1610.02391.pdf
  17. 17. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ref: https://arxiv.org/pdf/1610.02391.pdf
  18. 18. Input Grad-CAM Grad-CAM in Proliferative (增生 性) DR for Model Explanation No DR
  19. 19. Explainable Medical AI • Grad-CAM for Diabetic Retinopathy Detection • SHAP for Gene Expression Prediction
  20. 20. Gene Expression Prediction https://www.kaggle.com/c/gene-expression-prediction
  21. 21. BRCA基因異常並不是唯一引發乳癌風險 的因素,其中還包括受外在影響「表觀基 因」的改變……
  22. 22. Epigenetics
  23. 23. Histone Modifications (HM) (組蛋白修飾) 組蛋白 染色體 染色質 核小體 雙股DNA 組蛋白 H3 是修飾最多的組蛋白 (此分析的對象) 此分析為組蛋白H3的 N-末端甲基化的修飾
  24. 24. HM Signal and Gene Expression (組蛋白修飾訊號與基因表達) High gene expression, label = 1 Low gene expression, label = 0 H3K4me1 H3K4me3 H3K9me3 H3K36me3 H3K27me3 組蛋白H3的N末端第4個賴胺酸(K)的甲基化(me) => Signals DNA的鹼基對(bp)
  25. 25. HM Signal and Gene Expression (組蛋白修飾訊號與基因表達) 轉錄起點 (前後50個鹼基對) H3K4me1 H3K4me3 H3K9me3 H3K36me3 H3K27me3 H3K4me3 H3K4me1 H3K36me3 H3K9me3 H3K27me3 -50bp +50bp
  26. 26. Histone Modifications Signal w/ Gene Expression Histone Modifications Signal w/o Gene Expression
  27. 27. DeepChrome https://academic.oup.com/bioinformatics/article/32/17/i639/2450 757
  28. 28. DeepChrome Convolution
  29. 29. DeepChrome SVC: SVM classification RFC: Random Forest Classifier
  30. 30. werDNANet • Modify 5x5 Filter to two layers 3x3 Filter (From VGGnet concept) • More layer and smaller filter (3x3) is better • Add Batch Normalization
  31. 31. Compare DeepChrome and werDNANet in Gene Expression Prediction Method AUC Score K Nearest Neighbor (Benchmark) 0.8654 DeepChrome 0.9257 werDNANet 0.9266 (Best)
  32. 32. werDNANet Andrew
  33. 33. Ensemble DeepChrome and werDNAnet with 5-fold #2
  34. 34. SHAP • SHapley Additive exPlanation • Shapley values: Determine how much each player in a collaborative game has contributed to its success.
  35. 35. SHAP of 4 and 9 in CNN 0 1 2 3 4 5 6 7 8 9
  36. 36. SHAP of 4 and 9 in CNN 0 1 2 3 4 5 6 7 8 9
  37. 37. SHAP of Gene Expression = 1 H3K9me3 Histone Modifications Signal: SHAP Value:
  38. 38. SHAP of Gene Expression = 0 Histone Modifications Signal: SHAP Value:
  39. 39. SHAP of Gene Expression = ? Histone Modifications Signal:
  40. 40. SHAP of Gene Expression = 0 Histone Modifications Signal: SHAP Value:
  41. 41. Summary • AI is not Black Box • Explainable AI is very important in Medial AI
  42. 42. 王淳恆 Andrew Wang • Muen Biomedical (沐恩生醫) • Expertise – Technical Manager in Mediatek – Medical AI (2018~) – Deep Learning in Image (2015~) – Finance Analysis using AI (2005~) – Algorithm and Chip Design in wireless communication and image processing (2001~)
  43. 43. 王淳恆 Andrew Wang • Kaggle競賽三面銀牌 (Kaggle: Google旗下資料科學與人工智慧競賽平台) • Kaggle史上最高獎金競賽銀牌
  44. 44. 王淳恆 Andrew Wang

×