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License CC BY-NC-SA 4.0 Python 2.7 Python 3.7

Recurrent Mask Refinement for Few-Shot Medical Image Segmentation

Steps

  1. Install any missing packages using pip or conda

  2. Preprocess each dataset using utils/preprocess

  3. Run notebooks/prepare_data_for_few_shot_learning.ipynb to generate files containing the range of each organ

Train

Test

Configure the yaml. An example is at yamls/example.yml. Change ckpt to trained model checkpoint python test.py test --yaml $PATH_TO_YAML

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Code for Recurrent Mask Refinement for Few-Shot Medical Image Segmentation (ICCV 2021).

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