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fix bilateral bugs #3

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fix bilateral bugs #3

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0b94bee
Tensorflow2 update
tengfeixue-victor May 6, 2021
e38a091
Tensorflow2 update
tengfeixue-victor May 6, 2021
bfde2bc
Tensorflow2 Update
tengfeixue-victor May 6, 2021
b3b1870
fix bilateral bugs
tengfeixue-victor Jun 21, 2021
dbd9482
Update README.md
tengfeixue-victor Jun 21, 2021
fc68ef8
Check tensorflow 2 version
tengfeixue-victor Jun 21, 2021
a224d4a
Update ReadMe
tengfeixue-victor Jun 21, 2021
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1 change: 1 addition & 0 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -28,3 +28,4 @@ See the following script for instructions:

Isaiah Norton, Walid Ibn Essayed, Fan Zhang, Sonia Pujol, Alex Yarmarkovich, Alexandra J. Golby, Gordon Kindlmann, Demian Wassermann, Raul San Jose Estepar, Yogesh Rathi, Steve Pieper, Ron Kikinis, Hans J. Johnson, Carl-Fredrik Westin and Lauren J. O'Donnell.
SlicerDMRI: Open Source Diffusion MRI Software for Brain Cancer Research. Cancer Research 77(21), e101-e103, 2017.

6 changes: 3 additions & 3 deletions src/tract_feat.py
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Expand Up @@ -463,7 +463,7 @@ def bilateralize_feature_OLD(y_names, y_data, x_data, fliped_copy=False):

# Replace y label of right structure to its corresponding left structure
# Note: here we assume that right structure is next to the left structure
y_data_bilateral_ = y_data
y_data_bilateral_ = np.copy(y_data)
for y_label in all_y_labels:
if 'left' in y_names[y_label]:
# print y_label, y_names[y_label], y_names[y_label+1]
Expand All @@ -480,7 +480,7 @@ def bilateralize_feature_OLD(y_names, y_data, x_data, fliped_copy=False):
y_names_bilateral = np.array(y_names_bilateral)

# Make bilateral x data
x_data_reflected = x_data
x_data_reflected = np.copy(x_data)
x_data_reflected[:,:,:,0] = -x_data_reflected[:,:,:,0]

x_data_bilateral = np.concatenate((x_data, x_data_reflected), axis=2)
Expand Down Expand Up @@ -649,7 +649,7 @@ def bilateralize_feature(y_data, y_names, y_validation=None, verbose=False):

def bilateral_X_data(x_data, fliped_copy=False, y_data=None):

x_data_reflected = x_data
x_data_reflected = np.copy(x_data)
x_data_reflected[:,:,:,0] = -x_data_reflected[:,:,:,0]

if x_data_reflected.shape[-1] == 4:
Expand Down