data science bowl 2017winning solutions survey
TRANSCRIPT
- 1. Data Science Bowl 2017Winning Solutions Survey Takami Sato 17-4-18DSB2017 Solutions Survey 1
- 2. Data Science Bowl 2017 17-4-18DSB2017 Solutions Survey 2 CTDICOM 2001,500 h"ps://docs.google.com/presenta3on/d/ 1t40mZHzCdogvV3XeuK48SnKrA9tGK5eoaYoeBDYqoHs/edit#slide=id.g1cd534afe0_0_34 h"ps://www.kaggle.com/c/data-science-bowl-2017
- 3. 17-4-18DSB2017 Solutions Survey 3
- 4. 2 17-4-18DSB2017 Solutions Survey 4 Keras + windows 64bit LIDCLUNA16 LUNA16 32*32*323d convnet U-Net xgboost Public LB h"ps://www.kaggle.com/c/data-science-bowl-2017/discussion/31551
- 5. 2 17-4-18DSB2017 Solutions Survey 5 1x1x1 mm1 pixcel LUNADSB LUNALIDC LIDC LUNA16 40,000 100,00010,0002000LIDC LUNA163cm
- 6. 2 17-4-18DSB2017 Solutions Survey 6 3d convnet 32x32x32 3D convnet C3DVGG JulianDaniel2 120oversampling 12m3 z LUNADSB U-Net
- 7. 2 17-4-18DSB2017 Solutions Survey 7 xgboost min_child_weight60 CV0.390.40117 Daniels 64x64x64Resnet 2 LIDC 2submit
- 8. 7 17-4-18DSB2017 Solutions Survey 8 h"ps://www.kaggle.com/c/data-science-bowl-2017/discussion/31576 TensorFlow + Ubuntu 14.04 LUNALIDC DSB 3
- 9. 7 128x128U-Net LUNALIDC 3 3 0.2 pixcel 64x64x64 20 LIDC 17-4-18DSB2017 Solutions Survey 9
- 10. 7 2064x64x64 3D resnet 12 20, 64, 64, 64, 25 3D resnet20max Noisy-ANDNoisy-OR max 17-4-18DSB2017 Solutions Survey 10
- 11. 9 17-4-18DSB2017 Solutions Survey 11 h"ps://www.kaggle.com/c/data-science-bowl-2017/discussion/31548 h"ps://eliasvansteenkiste.github.io/machine%20learning/lung-cancer-pred/ LB
- 12. 9 17-4-18DSB2017 Solutions Survey 12 LUNA 1 voxcel1x1x1 mm cube U-Net Dice LUNA32x32x3264x64x64 Dierence of Gaussian
- 13. 9 17-4-18DSB2017 Solutions Survey 13 3D 3D Resnet LUNA 48x48x48 LIDC2 FPR
- 14. 9 17-4-18DSB2017 Solutions Survey 14 2 P() = 1 i Log Mean Exponet max Fine-tune 30 2 submit Defensive Ensemble CV Aggressive Ensemble CV
- 15. Twitter@tkm2261 17-4-18DSB2017 Solutions Survey 15