MrGiovanni / MrGiovanni/ModelsGenesis
Help fine-tuning on other CT data
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Description
Hello @MrGiovanni, thanks a lot for your work! It is very cool and interesting.
I am working on image classification (disease positive vs disease negative) in CT of head and neck cancer. The problem is that, as you state, the genesis chest model was trained on the -1000 HU to 1000 HU, and my interesting range would be much less (approx -50 HU to 200 HU). My dataset size is rather limited (less than 600 patients) so that is why I think a pre-trained model is a good approach but I was wondering if you have any advice on this problem or any data normalization technique. Thanks a lot in advance,
Best,
Agustina
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The issue mentions no repository files, tests, or entry points. It is an unanswered request for advice about adapting a pretrained chest-CT model to head-and-neck CT data, so there is no defined implementation target or completion condition for a newcomer.
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Assessment
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100