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Attention-driven cross-scale approach for Automatic Medical Image Segmentation using Deep Learning. Application on CT images of Liver and Liver tumours

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3DUnet.py
3DUnet.py
 
 
3DUnetCascade.py
3DUnetCascade.py
 
 
README.md
README.md
 
 
cascade_old.py
cascade_old.py
 
 
chek_volume_shape.py
chek_volume_shape.py
 
 
get_subsections.py
get_subsections.py
 
 
image_loading.py
image_loading.py
 
 
liver_preprocessing.py
liver_preprocessing.py
 
 
loss.py
loss.py
 
 
metrics.py
metrics.py
 
 
preprocessing.py
preprocessing.py
 
 
preprocessing_old.py
preprocessing_old.py
 
 
proposed_cascade.py
proposed_cascade.py
 
 
roc_curve.py
roc_curve.py
 
 
seg_metrics.py
seg_metrics.py
 
 
test_roc.py
test_roc.py
 
 
training_seg.py
training_seg.py
 
 
try_onehot.py
try_onehot.py
 
 
tversky_loss_function.py
tversky_loss_function.py
 
 
utilities.py
utilities.py
 
 
visualization.py
visualization.py
 
 

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3DUNet-Cascade-Attention

Attention-driven cross-scale approach for Automatic Medical Image Segmentation using Deep Learning. Application on CT images of Liver and Liver tumours

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Attention-driven cross-scale approach for Automatic Medical Image Segmentation using Deep Learning. Application on CT images of Liver and Liver tumours

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