def METHOD_NAME(input_list):
    mask, image = input_list
    label = measure.label(mask, connectivity=2)
    props = measure.regionprops(label, intensity_image=image)
    shapes = mask.shape
    color_mask_ori = np.zeros(shapes)
    score_list = []
    for idx, obj in enumerate(props):
        bbox = obj['bbox']
        center = obj['centroid']
        total_score = score_cell(obj)
        score_list.append([obj['label'], center[0], center[1], total_score])
        color_mask_temp = obj['image'] * total_score * 100
        color_mask_ori[bbox[0]: bbox[2], bbox[1]: bbox[3]] += color_mask_temp
    color_mask_ori = np.array(np.rint(color_mask_ori), dtype=np.uint8)
    return [mask, color_mask_ori]