Congratulations!!! A paper on leveraging coupled interaction for automated segmentation and volume measurement of the liver and spleen has been accepted for publication in Korean Journal of Radiology.

• Y. Ahn†, J.-S. Yoon†, S. Lee*,  H.-I. Suk*, J. Son, Y. Sung, Y. Lee, B.-K Kang, and H. Kim, “Deep Learning Algorithm for Automated Segmentation and Volume Measurement of the Liver and Spleen Using Portal Venous Phase Computed Tomography Images”, Korean Journal of Radiology Vol. 21, No.8, pp. 987-997, May 2020 (†: Equally contributed, *: co-corresponding).