In this paper, we propose the Global-Local Visual Extractor (GLVE) and the Cross Encoder-Decoder Transformer (CEDT). The GLVE captures local features as well as global features in images. By extracting both global and local features with the GLVE, our model learns the organ size, skeletal structure, and irregular lesion area.