MrGiovanni / MrGiovanni/ModelsGenesis
Pretrain model converge to one value
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- Dominant language
- Jupyter Notebook
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- 791
- Forks
- 141
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Description
Hello,
First thanks for your amazing work. I am training my own genesis network Using lung CT scans. The patches generated includes a reasonable amount of Lung part while when training with Genesis_Chest_CT, the output of the network will learn one single value for all pixels, any idea why this happened?
Thanks,
Tian
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reproducing the reported behavior with Genesis_Chest_CT and compare it with training on the submitter's lung CT patches. Inspect the preprocessing, training inputs, and output values to identify why all pixels converge to one value. Done means documenting the cause and a verified correction or configuration change; the issue names no files or tests.
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Assessment
- Tech stack
- jupyter-notebook
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100