コード例 #1
0
 def intensity_preprocessing_mr(self, image):
     """
     Intensity preprocessing function, working on the loaded sitk image, before resampling.
     :param image: The sitk image.
     :return: The preprocessed sitk image.
     """
     return gaussian_sitk(image, self.input_gaussian_sigma)
コード例 #2
0
ファイル: dataset.py プロジェクト: auger1/MMWHS
 def datasources(self):
     """
     Returns the data sources that load data.
     {
     'image:' CachedImageDataSource that loads the image files.
     'landmarks:' LandmarkDataSource that loads the landmark coordinates.
     'mask:' CachedImageDataSource that loads the groundtruth labels.
     }
     :return: A dict of data sources.
     """
     preprocessing = lambda image: gaussian_sitk(image, self.
                                                 input_gaussian_sigma)
     image_datasource = CachedImageDataSource(self.image_base_folder,
                                              '',
                                              '_image',
                                              '.mha',
                                              preprocessing=preprocessing)
     landmark_datasource = LandmarkDataSource(self.landmarks_file, 1,
                                              self.dim)
     mask_datasource = CachedImageDataSource(self.image_base_folder,
                                             '',
                                             '_label_sorted',
                                             '.mha',
                                             sitk_pixel_type=sitk.sitkUInt8)
     return {
         'image': image_datasource,
         'landmarks': landmark_datasource,
         'mask': mask_datasource
     }
コード例 #3
0
 def intensity_preprocessing_ct(self, image):
     """
     Intensity preprocessing function, working on the loaded sitk image, before resampling.
     :param image: The sitk image.
     :return: The preprocessed sitk image.
     """
     image = ShiftScaleClampSitk(clamp_min=-1024)(image)
     return gaussian_sitk(image, self.input_gaussian_sigma)