noduleCADEvaluationLUNA16.py 文件源码

def compute_mean_ci(interp_sens, confidence = 0.95):
  sens_mean = np.zeros((interp_sens.shape[1]),dtype = 'float32')
  sens_lb   = np.zeros((interp_sens.shape[1]),dtype = 'float32')
  sens_up   = np.zeros((interp_sens.shape[1]),dtype = 'float32')

  Pz = (1.0-confidence)/2.0

  for i in range(interp_sens.shape[1]):
    # get sorted vector
    vec = interp_sens[:,i]
    vec.sort()

    sens_mean[i] = np.average(vec)
    sens_lb[i] = vec[int(math.floor(Pz*len(vec)))]
    sens_up[i] = vec[int(math.floor((1.0-Pz)*len(vec)))]

  return sens_mean,sens_lb,sens_up