Update from previous release: 1, Allow automatic installation of dependencies when using "pip install" 2, For evaluation of segmentation results, support setting a list of evaluation metrics. e.g., "metric = dice" is now updated as "metric_list = [dice, assd]" in the configuration file.
0.3.0
update algorithms for annotation-efficient learning
0.2.5
New support for
- Semi-supervised learning - Weakly supervised learning - Learning with noisy labels - Customized inference function
0.2.4
0.2.3
1, Allow a combination of several loss functions for segmentation 2, Set transform and batch size for validation and testing