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Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.
Song JH, Hong Y, Kim ER, Kim SH, Sohn I. Song JH, et al. Among authors: hong y. J Gastroenterol. 2022 Sep;57(9):654-666. doi: 10.1007/s00535-022-01894-4. Epub 2022 Jul 8. J Gastroenterol. 2022. PMID: 35802259
Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images-The ACDC@LungHP Challenge 2019.
Li Z, Zhang J, Tan T, Teng X, Sun X, Zhao H, Liu L, Xiao Y, Lee B, Li Y, Zhang Q, Sun S, Zheng Y, Yan J, Li N, Hong Y, Ko J, Jung H, Liu Y, Chen YC, Wang CW, Yurovskiy V, Maevskikh P, Khanagha V, Jiang Y, Yu L, Liu Z, Li D, Schuffler PJ, Yu Q, Chen H, Tang Y, Litjens G. Li Z, et al. Among authors: hong y. IEEE J Biomed Health Inform. 2021 Feb;25(2):429-440. doi: 10.1109/JBHI.2020.3039741. Epub 2021 Feb 5. IEEE J Biomed Health Inform. 2021. PMID: 33216724 Review.
CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.
Graham S, Vu QD, Jahanifar M, Weigert M, Schmidt U, Zhang W, Zhang J, Yang S, Xiang J, Wang X, Rumberger JL, Baumann E, Hirsch P, Liu L, Hong C, Aviles-Rivero AI, Jain A, Ahn H, Hong Y, Azzuni H, Xu M, Yaqub M, Blache MC, Piégu B, Vernay B, Scherr T, Böhland M, Löffler K, Li J, Ying W, Wang C, Snead D, Raza SEA, Minhas F, Rajpoot NM; CoNIC Challenge Consortium. Graham S, et al. Among authors: hong c, hong y. Med Image Anal. 2024 Feb;92:103047. doi: 10.1016/j.media.2023.103047. Epub 2023 Dec 13. Med Image Anal. 2024. PMID: 38157647 Free article.
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