MrGiovanni / MrGiovanni/ModelsGenesis
any detials when training my own pretrain model
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- Jupyter Notebook
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Description
thanks for your excellent work! there are some question
- we all know that voxel "Spacing" is important when sampling Medical Image Data, which spacing in your training dataset, and test dataset?
- the scale (32, 64) per patient, such as "32 means I extracted 32 sub-volumes per patient, 64 means 64 sub-volumes per patient", why donnt you sampling data on-demand when pick one patient for much more sub-volumes.
- what is means HU_thred and len_depth in function infinite_generator_from_one_volume.
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Research direction
No file or test is named. Start by locating infinite_generator_from_one_volume and the training-data setup, then trace where voxel spacing, per-patient sub-volume counts, HU_thred, and len_depth are defined or used. Done means documenting the train/test spacing, the sampling rationale, and the meanings of both function parameters.
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Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100