Exploring pathological signatures for predicting the recurrence of early-stage hepatocellular carcinoma based on deep learning

• Published in: Frontiers in oncology Vol. 12; p. 968202
• Main Authors: Qu, Wei-Feng, Tian, Meng-Xin, Qiu, Jing-Tao, Guo, Yu-Cheng, Tao, Chen-Yang, Liu, Wei-Ren, Tang, Zheng, Qian, Kun, Wang, Zhi-Xun, Li, Xiao-Yu, Hu, Wei-An, Zhou, Jian, Fan, Jia, Zou, Hao, Hou, Ying-Yong, Shi, Ying-Hong
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 19.08.2022
• Subjects: curative resection; deep learning; hepatocellular carcinoma; Oncology; pathological slides; recurrence

Postoperative recurrence impedes the curability of early-stage hepatocellular carcinoma (E-HCC). We aimed to establish a novel recurrence-related pathological prognosticator with artificial intelligence, and investigate the relationship between pathological features and the local immunological micro...