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Maybe we can generate a medical image dataset by parsing the covid-papers that are related to diagnosis techniques using CT scans, x-rays images, etc. Usually, the papers results section is charged wi…
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Hello @brandontrabucco ,
Thanks for your reputed work.
I have reproduced the plausible outcomes of generation on the Pascal dataset. Can we generate/augment medical images that distinguish a lot…
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**Submitting author:** @gacou54 (Gabriel Couture)
**Repository:** https://github.com/gacou54/pyorthanc
**Branch with paper.md** (empty if default branch): joss
**Version:** v1.18.0
**Editor:** Pending…
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[The format of the issue]
Paper name/title:
Project link:
Paper link:
Code link:
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### Feature Name
Llava-next -34B
### Feature Description
Research about Llava-next -34B
### Research Findings
### LLaVA-NeXT-34B
**LLaVA-NeXT-34B** is a model in the LLaVA-NeXT series, which e…
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currently the model is trained only on CT images, but now the need of mri models are growing, how the model can be trained to do universal segmentation on any modalities ?
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- [ ] [ Neural Baby Talk](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lu_Neural_Baby_Talk_CVPR_2018_paper.pdf)
Keywords:
Image captioning
predict template-like sentences
Reference: [Hy…
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**Suggested format**
- Paper title:
- Author list:
- Paper link:
- Code link:
We have made efforts to include papers related to synthetic tumors as comprehensively as possible, but we acknowled…
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Thank you for your outstanding work! I'm sorry to bother you, but I still have questions about some of the details of the data construction process. I'm wondering how you choose the value of each plac…