HealthML / active-segmentation

ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
GNU Affero General Public License v3.0
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Run Experiments #140

Closed Jasperhino closed 2 years ago

Jasperhino commented 2 years ago

Create a list of all experiments to conduct for the paper

https://docs.google.com/spreadsheets/d/1cgImWKztSkfu9be7mReofWnAQP_upI61A9LbuW1e9yc/edit?usp=sharing

jonaskordt commented 2 years ago

Priorities:

  1. Random Sampling
  2. Interpolation (random, 10, interpolation_type: t.b.d.)
  3. Interpolation (uncertainty (entropy), 10)
  4. Uncertainty (entropy)
  5. Interpolation (random, 5)
  6. Interpolation (uncertainty (entropy), 5)

Datasets:

  1. Brats, Hippocampus, Heart, Prostate
  2. rest

If there is time left: Other block thicknesses

Settings: