Application of a deep learning algorithm for the diagnosis of HCC

Application of a deep learning algorithm for the diagnosis of HCC

Background & Aims: Hepatocellular carcinoma (HCC) is characterized by a high mortality rate. The Liver Imaging Reporting and Data System (LI-RADS) results in a considerable number of indeterminate observations, rendering an accurate diagnosis difficult. Methods: We developed four deep learni...

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Main Authors: Philip Leung Ho Yu, Keith Wan-Hang Chiu, Jianliang Lu, Gilbert C.S. Lui, Jian Zhou, Ho-Ming Cheng, Xianhua Mao, Juan Wu, Xin-Ping Shen, King Ming Kwok, Wai Kuen Kan, Y.C. Ho, Hung Tat Chan, Peng Xiao, Lung-Yi Mak, Vivien W.M. Tsui, Cynthia Hui, Pui Mei Lam, Zijie Deng, Jiaqi Guo, Li Ni, Jinhua Huang, Sarah Yu, Chengzhi Peng, Wai Keung Li, Man-Fung Yuen, Wai-Kay Seto
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:JHEP Reports
Subjects:
HCC
AI
Liver cancer
CT
LIRADS
Imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S2589555924002234
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