Hello, your repo has been extremely helpful in the data preprocessing for the LIDC dataset. much thanks.
There is one question that I have which is regarding the nodule masks generation.
For example, if Slice_50 contains 2 nodules, this code will generate 2 npy images for the lung, and 2 npy masks for the nodule right?
The generated npy images for the lung will be the same slice_50, however there will be 2 respective npy masks for each of the nodules within the slice_50.
How will this affect the training and validation accuracies?
Hello, your repo has been extremely helpful in the data preprocessing for the LIDC dataset. much thanks.
There is one question that I have which is regarding the nodule masks generation.
For example, if Slice_50 contains 2 nodules, this code will generate 2 npy images for the lung, and 2 npy masks for the nodule right?
The generated npy images for the lung will be the same slice_50, however there will be 2 respective npy masks for each of the nodules within the slice_50.
How will this affect the training and validation accuracies?