MHub / GC - Add LUNA22 ISMI baseline model implementation

[silvandeleemput]

This PR adds the GC LUNA22 ISMI baseline model (from the LUNA22 challenge) to MHub.
GitHub Repo: https://github.com/DIAGNijmegen/bodyct-luna22-ismi-algorithm-baseline
GC page: https://grand-challenge.org/algorithms/luna22-ismi-baseline/

Algorithm I/O

• Input should be a volume from a CT Lung image (MHA) centered around a single nodule (This MHub implementation expects a Dicom which is converted to MHA using MhaConverter)
• Outputs are:
  • A JSON file with the following output scores:
    • malignancy risk
    • lung nodule type
• Test images for this algorithm can be downloaded from here: https://zenodo.org/record/6559584

Caveats

• The PR target is main, but should be something like m-gc-luna22-ismi-baseline
• In the Dockerfile the MHub model repo integration is currently marked TODO since it requires the creation of the appropriate branch for this code first.
• Added a TODO to the MHAConverter since it doesn't have the panimg backend yet.

[silvandeleemput]

This algorithm/model should not be added since it is not very suitable as a MHub model, due to it being intended for students. Also, the algorithm focuses on small volumes around nodules, requiring additional preprocessing. Hence we will replace this algorithm with #60, which is a better candidate.