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Fine tuning about gmic HOT 2 CLOSED

Steve-Pan avatar Steve-Pan commented on September 13, 2024
Fine tuning

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Comments (2)

seyiqi avatar seyiqi commented on September 13, 2024

Hi Steve,

  1. You can start with BCE but eventually, Equation 13 will give you better performance. The regularization term |A| is basically model.saliency_maps.mean().

  2. This depends on your datasets. If all breasts in your datasets are either benign or malignant, then you might want to make the model only output a single score indicating if there is any malignant lesion. If your dataset has normal breasts that don't have any benign or malignant lesions, then you should use BCE.

  3. We applied (a).

Hope it helps!

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Steve-Pan avatar Steve-Pan commented on September 13, 2024

Thank you very much, Yiqiu.

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