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Hi @FabianIsensee,
I'm testing the nnUnet (3D and 2D) on brain anatomy labels. Because, for example, the left and right cerebral grey matter receive different labels, I assumed that the mirror aug…
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We keep coming back to the question of how to better interoperate with Keras. This will become even more important in TensorFlow 2.0, since it will eliminate the `tf.contrib` and `tf.layers` modules …
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Hi FabianIsensee,
Thank you for your great great great work of this nnUNet! This framework helps me a lot and it always has such a great result in medical image segmenation! :）
I'm now learning yo…
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@LeeJunHyun
Hi:
thank you for the code, i have trained the unet with the data from ISIC2018 ,but the train_result and valid_result is different, could you give me some advise? Why is the evaluation…
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Hi, Fabian
I want to try the 'deep_supervision' in nnunet, I set do_ds = True in 'generic_UNet.py' .
I got the error:
Traceback (most recent call last):
File "run/run_training.py", line 108, i…
yl255 updated
5 years ago
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I'm trying to build a squeeze/excite-style block. Unpooling is undesirable because of all the blank space, but it runs without complaint. However, Deconvolution after Average- or MaxPooling fails. It …
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Hi FabianIsensee:
An incredible and outstanding work！～～～，you are the best researcher of segmentation area,did your still remember me?Xinyu is me.
Oh my god, when i read your paper of nnUN…
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arXiv论文跟踪
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Hi I got the following error when trying to implement your code. Do you have any idea on how to solve this. Thanks in advance
Traceback (most recent call last):
File "C:\Python35\lib\site-packag…
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hello ,thank you very much for your contribution
could you tell me how to test the code ,because
Epoch [15/15], Loss: 11.5097,
[Training] Acc: 0.9289, SE: 0.8480, SP: 0.9742, PC: 0.8885, F1: …