Preprocessing.py 文件源码

def get_data(lst,preproc):
   data = []
   result = []
   for path in lst:
       f = dicom.read_file(path)
       img = preproc(f.pixel_array.astype(float) / np.max(f.pixel_array))
       dst_path = path.rsplit(".", 1)[0] + ".64x64.jpg"
       scipy.misc.imsave(dst_path, img)
       result.append(dst_path)
       data.append(img)
   data = np.array(data, dtype=np.uint8)
   data = data.reshape(data.size)
   data = np.array(data,dtype=np.str_)
   data = data.reshape(data.size)
   return [data,result]