Susanne Schmid commited on
Commit
0ca2f67
1 Parent(s): e7e835a

fixed typo and changed division to multiplication

Browse files
Files changed (1) hide show
  1. app.py +4 -4
app.py CHANGED
@@ -64,14 +64,14 @@ def NormalizeMinMax(img):
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  minVal = np.nanmin(img)
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  maxVal = np.nanmax(img)
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- img_normalized = (img - minVal)/(maxVal- minVal)
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  return img_normalized
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  def NormalizePercentile(img, minP, maxP):
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  #Normalization for Volumes
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  minVal = np.nanpercentile(img, minP)
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  maxVal = np.nanpercentile(img, maxP)
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- img_normalized = (img - minVal)/(maxVal- minVal)
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  return img_normalized
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  def NormalizeZScore(img):
@@ -79,7 +79,7 @@ def NormalizeZScore(img):
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  meanVal = np.nanmean(img)
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  stdVal = np.nanstd(img)
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- img_normalized = (img-meanVal)/stdVal
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  return img_normalized
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@@ -126,7 +126,7 @@ def Norm_image(vol_path,normalization_technique):
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  if 'Percentile (10th - 90th)' in normalization_technique:
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  imgNPlist.append(NormalizePercentile(img_load, 10, 90).flatten())
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- gr.Info('The volumes are loaded succesfully and different normalization techniques are calculted.')
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  log_scale = False
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  plt.figure(11)
 
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  minVal = np.nanmin(img)
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  maxVal = np.nanmax(img)
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+ img_normalized = (img - minVal)*(1/(maxVal- minVal))
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  return img_normalized
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  def NormalizePercentile(img, minP, maxP):
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  #Normalization for Volumes
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  minVal = np.nanpercentile(img, minP)
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  maxVal = np.nanpercentile(img, maxP)
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+ img_normalized = (img - minVal)*(1/(maxVal- minVal))
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  return img_normalized
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  def NormalizeZScore(img):
 
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  meanVal = np.nanmean(img)
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  stdVal = np.nanstd(img)
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+ img_normalized = (img-meanVal)*(1/stdVal)
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  return img_normalized
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  if 'Percentile (10th - 90th)' in normalization_technique:
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  imgNPlist.append(NormalizePercentile(img_load, 10, 90).flatten())
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+ gr.Info('The volumes are loaded succesfully and different normalization techniques are calculated.')
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  log_scale = False
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  plt.figure(11)