How to win
Based on the winning solutions in FLARE21, we summarize the following strategies to obtain better performance in this challenge.
Strategies to improve the segmentation performance
- Preprocessing: intensity normalization, resampling...
- Extensive data augmentations;
- Coarse-to-fine (two-stage or cascaded) framework;
- Postprocessing: connected component analysis;
Strategies to improve the computational efficiency
- Whole-volume based input;
- Lightweight network modules: residual block with bottleneck, separated convolutions, and pyramid pooling;
- Accelerate inference by ONNX Runtime, TensorRT...
Important: You can get a perfect GPU-Time score if limiting the maximum GPU memory consumption within 2GB.
The code and paper of FLARE21 winners have been publicly available at
https://flare.grand-challenge.org/Awards/