jeremykawahara / derm7pt Goto Github PK

Hi Jeremy,

I am trying to access the data from the website associated to your paper here, but after filling out the form twice with my institutional and personal email address (like half an hour ago), I still have not received any email with download instructions. Could you please help me out?

Thanks :)

Hi, @jeremykawahara, @hamarneh!

Can you explain how we calculate AUCROC for diagnosis? AUCROC is for binary classification, how can we interpret this for multi-class classification (because 1 diagnosis per image)?

Moreover, the same question about AUCROC in every criteria.

Do you use just AUCROC from sklearn that can return dict with AUCROC per label and use AUCROC like binary classification to every label?

It will be very cool, if you explain this point or publish code that calculate metrics from paper.

Hello!
I hope this message finds you well.
Your paper on Multi-Modal Learning for Skin Lesion Detection and Classification is quite impressive and would love to know more about your implementation of the loss function mentioned in the paper. Could you please provide the code for the same?
Thank you for your time!

Hello, I have a problem with the run of the project, in particular with minimal_example file. The problem is this: no module derm7pt found. How can I solve it? Thank you in advance

Hello and thank you for sharing your work!
Would it be possible for you to provide the model checkpoint for inference?
Thank you in advance, Lucia

According to paper:
"As we have 24 unique labels across all categories (Table I), this constrains our mini-batches to be of size b = 24k."

I can't get 24. Could you explain more precisely how to get 24? @jeremykawahara