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I am trying to use the UNET 3plus with deep supervision and cgm for nodule segmentation from lung ct scans. When I train the model on a 1000 image subset of the dataset the model learns and outputs me…
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Hi. I was looking for the checkpoint files. I found the links in your previous issue.
While I was able to download the Unet model checkpoint for saliency, the segmentation model checkpoint is no long…
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In the original implementation, they used a weighted loss function to weight up border pixels so that the network learns those preferentially (see Fig 3D below).
![image](https://user-images.githu…
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Hello:
I use the 3DUnet model to do the Brain Tumor segmentation task ,and the training set is the MICCAI BraTS 2018 data. When I use the 'python3 net_run.py inference -c ./config/my_unet_config.ini…
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i get the following error
AttributeError: module 'keras.layers' has no attribute 'DepthwiseConv2D'
when i run
model = sm.Unet(BACKBONE, classes=n_classes, activation=activation);
while I'm r…
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I'm attempting to train a unet model, and am getting this error:
Traceback (most recent call last):
File "/home/kseg/keras_segmentation/train.py", line 4, in
from .data_utils.d…
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Hi , when reading your code about the model head (define number of output classes) ,I have some question about this. In 2D segmentation task , we usually use Conv2D with kernel size 1 to get the fin…
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Is this possible?
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Hi, first use resulted in errors.
Can anyone point me to a fix?
```
Segmenting...
ERROR:root:Unhandled exception:
Traceback (most recent call last):
File "/home/jmamede/anaconda3/lib/pytho…
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# Goal ###
First of all, thank you very much _jakeret et al._ for this wonderful project. It is a great piece of work, that is also usable for others.
My goal is to train TensorFlow UNet on the …