Comments (6)
Thanks.
Did you check the intermediate training images and see if the segmentation is detecting the location of Gt correctly?
from unet-segmentation-pytorch-nest-of-unets.
Thank you for your reply.
Following your suggestion, I randomly visualized several images and the corresponding masks during tranining, all these samples are exactly matched.
from unet-segmentation-pytorch-nest-of-unets.
Ok.
And all the Unets are showing the same results?
Did you try with Nested-Unet?
from unet-segmentation-pytorch-nest-of-unets.
Thank you.
I found the problem, I made some changes on data transforms in training, learning to the inconsistent between the training data and the testing data. Unfortunately, after I fixed the data transform problem, the performance is still not reasonable, for unet on ISIC 2017, the DC is only 0.69 (0.86 reported in r2u-net paper), and the nestedu- net is only 0.73, which are much worse.
from unet-segmentation-pytorch-nest-of-unets.
Try to increase the depth of the model or decrease it.
Maybe that can provide a better dice score.
from unet-segmentation-pytorch-nest-of-unets.
Ok, thank you.
from unet-segmentation-pytorch-nest-of-unets.
Related Issues (20)
- hello,is label a 3 channels image? HOT 4
- May have future issues in input size in basic Unet HOT 1
- Data transformation HOT 4
- loss HOT 1
- dim HOT 1
- Caught RuntimeError in DataLoader worker process 0& The size of tensor a (4) must match the size of tensor b (3) at non-singleton dimension 0 HOT 11
- Help for data or data format HOT 1
- Data set HOT 4
- train my data
- IndexError: tuple index out of range HOT 2
- effect
- Aboot DataBase HOT 1
- choose network HOT 5
- RuntimeError: output with shape [1, 800, 600] doesn't match the broadcast shape [3, 800, 600] HOT 5
- How to get my output? HOT 1
- Regarding Dataset HOT 1
- r2unet HOT 3
- RuntimeError: DataLoader worker (pid(s) 38348, 20180, 30224, 8512, 38232, 19588, 39276, 10048) exited unexpectedly HOT 1
- Data Set HOT 2
- RuntimeError: output with shape [1, 767, 1022] doesn't match the broadcast shape [3, 767, 1022] HOT 1
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from unet-segmentation-pytorch-nest-of-unets.