Quantitative measurements about sulcal patterns are a basic approach to characterize the possibility of neurological disorders. In this study, we used recurrent residual U-Net. Also, to improve the accuracy of segmentation, the models of each plain in the MR image were produced separately and the results combined. As a result, the cortical plate segmentation showed an average dice coefficient of 0.901 ± 0.030, and segmentation for the internal region of the cortical plate showed 0.978 ± 0.010. The proposed method is expected to be useful as a quantitative developmental measurement of the fetus.