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 |
- 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 |