Official repository of MICCAI 2022 Challenge: KiPA22.
We provide the evaluation code and a baseline depository for a easy start of our challenge. You can use the code in EVALUATION to evaluate the DSC, HD, and AVD of your result, and use the code in BASELINES to strat your KiPA22 easily.
Please feel free to raise any issues if you have questions about the challenge, e.g., dataset, evaluation measures, ranking scheme and so on.
The EVALUATION folder provides the official implementation of the evaluation metrics used in the KiPA22 Challenge, including:
DSC(Dice Similarity Coefficient) is used to evaluate the area-based overlap index.HD(Hausdorff Distance) is used to compare the segmentation quality of outliers.AVD(Average Hausdorff Distance) is used to evaluate the coincidence of the surface for stable and less sensitive to outliers.
More details are available in the papers (He et al., 2021; Taha et al., 2015).
The BASELINES folder provides some basic models of official implementation and the connections of some excellent third-party libraries which will help the participants start their training easily. The baselines in this folder will be gradually improved, and the existing codes include: