Hello author, I renamed the CHASEDB1 dataset and used the 1st mask image for training. I followed your training configuration and the final result is as follows:
However, in the paper, the results of the data set are as follows:
The following is my configuration of the training settings and the division of the training set and the validation set:
The "test_size" of "train_test_split" is not 0.2, but 0.27, which makes the training set exactly 20 images, which is a multiple of batch_size, in order to fully utilize the data for learning.
The "random_state" of "train_test_split" are 41, 1029, and 3407, respectively. The 'seed' of the 'seed_torch' is 1029.
Hello author, I renamed the CHASEDB1 dataset and used the 1st mask image for training. I followed your training configuration and the final result is as follows:
However, in the paper, the results of the data set are as follows:
The following is my configuration of the training settings and the division of the training set and the validation set:![image](https://github.com/Jiaoyang45/Rolling-Unet/assets/119391475/f4834c20-a1f7-45b1-bb70-90d4eaaf1251)