Order Article Reprints

Kim J-H, Oh S-I, Han S-Y, Keum J-S, Kim K-N, Chun J-Y, Youn Y-H, Park H. An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer. Cancers. 2022; 14(23):6000. https://doi.org/10.3390/cancers14236000

Kim, Jie-Hyun, Sang-Il Oh, So-Young Han, Ji-Soo Keum, Kyung-Nam Kim, Jae-Young Chun, Young-Hoon Youn, and Hyojin Park. 2022. "An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer" Cancers 14, no. 23: 6000. https://doi.org/10.3390/cancers14236000

Kim, J.-H., Oh, S.-I., Han, S.-Y., Keum, J.-S., Kim, K.-N., Chun, J.-Y., Youn, Y.-H., & Park, H. (2022). An Optimal Artificial Intelligence System for Real-Time Endoscopic Prediction of Invasion Depth in Early Gastric Cancer. Cancers, 14(23), 6000. https://doi.org/10.3390/cancers14236000