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IAmSuyogJadhav
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3d-mri-brain-tumor-segmentation-using-autoencoder-regularization
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
MIT License
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Data_loading
#17
Qingyuncookie
closed
4 years ago
1
ZeroDivisionError: division by zero
#16
asifehmad
closed
4 years ago
5
decoder blue boxes
#15
alalbiol
opened
4 years ago
2
Is the output of this model not the three sub-regions of the tumor(i.e. whole tumor, enhance tumor and tumor core)?
#14
joe1chief
closed
4 years ago
2
How to make this code suitable for single modal input data(e.g. t1ce)?
#13
joe1chief
closed
4 years ago
1
about group norm size
#12
alalbiol
opened
4 years ago
1
How much GPU memory does the model need?
#11
ljw-struggle
closed
4 years ago
2
Removed accuracy and added the dice coefficient as the new metric
#10
IAmSuyogJadhav
closed
5 years ago
0
This is not really an issue but could You give me a tutorial on how to run it on BRATS dataset?
#9
michalstepniewski
closed
5 years ago
2
Added loss weights
#8
IAmSuyogJadhav
closed
5 years ago
0
Shouldn't the dice coefficient loss be negative?
#7
woodywff
closed
5 years ago
5
L2 Loss function might not be calculating the loss correctly.
#6
IAmSuyogJadhav
closed
5 years ago
3
Fixed #3 using better fix by @doc78
#5
IAmSuyogJadhav
closed
5 years ago
0
score
#4
iamimage
opened
5 years ago
28
nan loss for down-sized model
#3
mpslxz
closed
5 years ago
17
invalid syntax
#2
srinivasb72s1
closed
5 years ago
1
right input_shape ?
#1
hiba555
closed
5 years ago
10
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