def intensity_postprocessing_mr(self, image):
"""
Intensity postprocessing for MR input.
:param image: The np input image.
:return: The processed image.
"""
image = normalize_robust(image)
return ShiftScaleClamp(clamp_min=-1.0)(image)
def intensity_postprocessing(self, image):
"""
Intensity postprocessing.
:param image: The np input image.
:return: The processed image.
"""
normalized = normalize_robust(image)
return normalized
def intensity_postprocessing_augmented(self, image):
"""
Intensity postprocessing. Random augmentation version.
:param image: The np input image.
:return: The processed image.
"""
normalized = normalize_robust(image)
return ShiftScaleClamp(random_shift=0.15,
random_scale=0.15)(normalized)
def intensity_postprocessing_mr_random(self, image):
"""
Intensity postprocessing for MR input. Random augmentation version.
:param image: The np input image.
:return: The processed image.
"""
image = normalize_robust(image)
return ShiftScaleClamp(random_shift=0.2,
random_scale=0.4,
clamp_min=-1.0)(image)
def intensity_postprocessing_mr_random(self, image):
"""
Intensity postprocessing for MR input. Random augmentation version.
:param image: The np input image.
:return: The processed image.
"""
image = change_gamma_unnormalized(image, float_uniform(0.5, 1.5))
image = normalize_robust(image, consideration_factors=(0.1, 0.1))
return ShiftScaleClamp(random_shift=0.6,
random_scale=0.6,
clamp_min=-1.0)(image)