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uta-smile / DeepAttnMISL

Contains codes of DeepAttnMISL in MEDIA'20
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Confusions of implementation details in paper #2

Open butifulmind opened 3 years ago

butifulmind commented 3 years ago

Hello, Dr. Yao, we have read your paper published on MIA. Your DeepAttnMISL model is a good method. We are also conducting related research and are trying to reproduce the DeepAttnMISL model on the NLST data set.We have some doubts about the method in the paper and would like to ask you for help.

Sampling of patches:

  1. Which layer of the wsi is sampled and how big is the size of the sampling patches
  2. Do the patches all come from the cancerous area, or are they randomly sampled from the slide?
  3. What method is used for sampling
  4. What is the number of sampling patches for each slide?

Determination of the survival time of each patient: The NLST data set gives the following two variables： candx_days: Days from randomization to first diagnosis of lung cancer fup_days: Days from randomization to date last known alive The calculation of survival time should use fup_days-candx_days, or use fup_days directly。

wanghan0501 commented 2 years ago

I also have the same issues...

ivaxi0s commented 2 years ago

Hey @butifulmind and @wanghan0501, would you mind sharing how you download and create csv for the dataset pls?

wanghan0501 commented 2 years ago

Hey @butifulmind and @wanghan0501, would you mind sharing how you download and create csv for the dataset pls?

I'm trying now. I'll let you know if I make any progress

ivaxi0s commented 2 years ago

Hey @butifulmind and @wanghan0501, would you mind sharing how you download and create csv for the dataset pls?

I'm trying now. I'll let you know if I make any progress

Sure thank you very much, I am trying as well, I shall update you if I have any

Raymvp commented 1 year ago

Hey @butifulmind and @wanghan0501, would you mind sharing how you download and create csv for the dataset pls?

请问你下载好数据集了吗

Raymvp commented 1 year ago

Hello, Dr. Yao, we have read your paper published on MIA. Your DeepAttnMISL model is a good method. We are also conducting related research and are trying to reproduce the DeepAttnMISL model on the NLST data set.We have some doubts about the method in the paper and would like to ask you for help.

Sampling of patches:

  1. Which layer of the wsi is sampled and how big is the size of the sampling patches
  2. Do the patches all come from the cancerous area, or are they randomly sampled from the slide?
  3. What method is used for sampling
  4. What is the number of sampling patches for each slide?

Determination of the survival time of each patient: The NLST data set gives the following two variables： candx_days: Days from randomization to first diagnosis of lung cancer fup_days: Days from randomization to date last known alive The calculation of survival time should use fup_days-candx_days, or use fup_days directly。

Do you have any progress?

Raymvp commented 1 year ago

Hey @butifulmind and @wanghan0501, would you mind sharing how you download and create csv for the dataset pls?

I'm trying now. I'll let you know if I make any progress

Sure thank you very much, I am trying as well, I shall update you if I have any

Do you have any progress?

Raymvp commented 1 year ago

Hey @butifulmind and @wanghan0501, would you mind sharing how you download and create csv for the dataset pls?

I'm trying now. I'll let you know if I make any progress

Do you have any progress?