Open JSluo888 opened 1 month ago
You can obtain the statistical results of the entire dataset by running preprocess/datasets_statistic.py
or obtain the statistical results of foreground-background separation by running datasets_statistics_attention.py
.
I am wondering what is the dataset used to produce the yaml file in your github folder?
Just to confirm: I can just run datasets_statistics_attention.py to get yaml file, and use that to run the randstainna/randstainna.py to obtain the augmented images? There are not extra steps, correct?
Sorry for the late reply. For the randstainna method, it is indeed possible to use randstainna/randstainna.py to obtain augmented images. For randstainna++, you can save the augmented images during the training process, or if you need help, we will update the offline version's .py file later.
Thanks. I have already tried RandStainNA before. Would truly appreciate if you could provide a clearer instruction on how to use randstainna++ (like a complete pipeline including the generation of yaml file, and how the augmented images are produced).
sorry for the inconvenience caused by the unclear raedme file, we will update the readme file as soon as possible.
Hi,
Really great work!
I am just wondering where the [CRC_LAB_randomTrue_n0.yaml] in your github folder comes from? Is it a randomly generated demo, or the statistics obtained from some sort of pathology dataset? Thanks!