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Hello, I'd like to inquire whether you employed different models for distinct parts when working with the MURA dataset or if a single model was used to predict all parts.
If multiple models were utilized, how were the 1000 and 400 images divided during the experiment?
The text was updated successfully, but these errors were encountered:
Hello, I'd like to inquire whether you employed different models for distinct parts when working with the MURA dataset or if a single model was used to predict all parts.
If multiple models were utilized, how were the 1000 and 400 images divided during the experiment?
I think the same model should be used to train the data in the MURA dataset, only to distinguish whether there is a disease, that is, binary classification. The label images should be randomly selected from each type. Also, can you provide the usage code for the MURA dataset? I found that this part is not included in the open source code. Thank you!
Hello, I'd like to inquire whether you employed different models for distinct parts when working with the MURA dataset or if a single model was used to predict all parts.
If multiple models were utilized, how were the 1000 and 400 images divided during the experiment?
The text was updated successfully, but these errors were encountered: