3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

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TypeError

3

This is the error i get when i fit this model... i type casted the types to float of y_pred and y_true but still getting this error. How can i...

MuhammadShahrukh812

i have faced this error during notebook execution.

prince0310

ImportError: cannot import name 'adam' from 'keras.optimizers' (/usr/local/lib/python3.8/dist-packages/keras/optimizers/__init__.py) This error was being displayed earlier Resolved this by just changing line from keras.optimizers import **A**dam

babbarutkarsh

There are three extra layers in this model (inp_res in green block and two blue blocks). As the winner of BraTS 2019 used the same architecture and explained it more...

FBehrad

Changes adam to Adam

shambhavi-jilkar

Bilinear Upsampling

1

In the paper, the author specifies using bilinear interpolation to upsample the features in the decoder heads. Going over your implementation, I saw you are using Kerase's UpSampling3D object to...

Yan107351111

Can not run the program on colab

1

I can't run the program in colab. It gives me so many error related to the model and group_normalization which is related to version of tensorflow and keras. #

mehrimirani

Thank you for the excellent work, I'd like to know did you test the training time, parameters and FLOPs, thank you.

tongxuezhou

The `Dense` layers `Dec_VAE_VDraw_Mean` and `Dec_VAE_VDraw_Var` should just be Identity layers taking the first and last 128 outputs of `Dec_VAE_VD_Dense`, as per section 3.3 of the paper: _"Starting from the...

alexrakowski

Hello! I am Olalla, and I am a bit new in all this DL world. I am trying to implement your algorithm and I need to change the **input_shape** so...

olalla1999