/siim-acr-pneumothorax

Kaggle competition repo: https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/

Primary LanguageJupyter NotebookMIT LicenseMIT

siim-acr-pneumothorax

Kaggle competition repo: https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/

  • CXU: Chexnet U-ignore Pretraining
  • R34: ResNet34
  • RX34: XResNet34
  • DN121: DenseNet121
  • POST: Pixel Removal Post Processing
  • GS: Grid Search for optimal seg and clas thres

Experiments (Instance Dice)

Local Public LB Method Input Size (CLS - SEG)
- 0.7886 All -1
0.8094 0.8108 CXU R34 CLS + CXU RX34 SS (GS - CLS ONLY) 224-224
0.8017 0.8110 CXU RX34 CLS + CXU RX34 SS (GS - CLS ONLY) 224-224
0.8090 0.8130 TTA_cls - (CXU R34 RX34) - GS 224-224
0.8150 0.8168 TTA_cls - POST - (CXU R34 RX34) - GS 224-224
0.8091 0.8169 TTA_cls - POST - (CXU RX34 RX34) - GS 224-224
0.8117 0.8202 TTA_cls_seg - POST - (CXU RX34 RX34) - GS 224-224
0.8201 0.8161 TTA_cls_seg - POST - (CXU R34 RX34) - GS 224-224
0.8190 0.8096 TTA_cls_seg - POST - (DN121 RX34) - GS 224-224
0.8232 0.8186 Average Ensemble Before GS 224-224

Updates

  • 07/12/2019: Evaluation changed to single mask prediction per image.

Experiments (Semantic Dice)

Local Public LB Method Input Size (CLS - SEG)
0.8238 0.8226 CXU R34 CLS + CXU RX34 + 5 fold MAJ ENS 224-224
0.8400 0.8263 CXU RX34 CLS + CXU RX34 + 5 fold MAJ ENS 448-448