def data_prep_function(data, patch_centers, pixel_spacing, p_transform,
p_transform_augment, **kwargs):
x = data_transforms.transform_dsb_candidates(data=data,
patch_centers=patch_centers,
p_transform=p_transform,
p_transform_augment=p_transform_augment,
pixel_spacing=pixel_spacing)
x = data_transforms.pixelnormHU(x)
return x
def data_prep_function(data, patch_centers, pixel_spacing, p_transform,
p_transform_augment, **kwargs):
x = data_transforms.transform_dsb_candidates(data=data,
patch_centers=patch_centers,
p_transform=p_transform,
p_transform_augment=p_transform_augment,
pixel_spacing=pixel_spacing)
x = data_transforms.pixelnormHU(x)
return x
def data_prep_function(data, pid, patch_centers, pixel_spacing, p_transform,
p_transform_augment, **kwargs):
x = data_transforms.transform_dsb_candidates(
data=data,
patch_centers=patch_centers,
p_transform=p_transform,
p_transform_augment=p_transform_augment,
pixel_spacing=pixel_spacing)
bins, original_borders = rescale_params_hist_eq[pid]
x = data_transforms.apply_hist_eq_patch(x, bins, original_borders)
x = data_transforms.hu2normHU(x)
return x
def data_prep_function(data, pid, patch_centers, pixel_spacing, p_transform,
p_transform_augment, **kwargs):
x = data_transforms.transform_dsb_candidates(data=data,
patch_centers=patch_centers,
p_transform=p_transform,
p_transform_augment=p_transform_augment,
pixel_spacing=pixel_spacing)
bins, original_borders = rescale_params_hist_eq[pid]
x = data_transforms.apply_hist_eq_patch(x, bins, original_borders)
x = data_transforms.hu2normHU(x)
return x