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Feasibility of Few shot segmentation (specifically task 3) #2

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Tianyangg opened this issue May 29, 2020 · 2 comments
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Feasibility of Few shot segmentation (specifically task 3) #2

Tianyangg opened this issue May 29, 2020 · 2 comments

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@Tianyangg
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Hi JunMa,

Maybe this is not the correct thread for asking but I'm working on this segmentation benchmark and my supervisor plan to extend this for the individual project. Do you think this task of few-shot learning (maybe a transfer from NSCLC or similar dataset) is feasible because as far as know (correct me if I'm wrong) few-shot learning in segmentation in the medical domain is still not well explored?
Or if you have any suggesting method in mind that I can start with?

Thanks

@JunMa11
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JunMa11 commented May 30, 2020

Hi @Tianyangg ,

Great question!

Do you think this task of few-shot learning (maybe a transfer from NSCLC or similar dataset) is feasible?

For lung segmentation, we have obtained promising results. However, for infection, it still remains a challenging open question.

What we have done is only a very basic baseline, there are several methods that could try, e.g., fine-tune, self-supervised learning, and so on.

Best,
Jun

@Tianyangg
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Hi,

Thanks for your advice, we'll take a look at methods like transfer learning stuff.
We really appreciate your work. Thank you.

Regards,
Tian

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