When liver disease diagnosis encounters deep learning:Analysis,challenges,and prospects  

作　　者：Yingjie Tian Minghao Liu Yu Sun Saiji Fu 

机构地区：[1]School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China [2]School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China [3]Research Center on Fictitious Economy and Data Science,Chinese Academy of Sciences,Beijing 100190,China [4]Key Laboratory of Big Data Mining and Knowledge Management,University of Chinese Academy of Sciences,Beijing 100190,China [5]MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation at UCAS,Beijing 100190,China [6]Tsinghua University Press,Beijing 102611,China [7]School of Economics and Management,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《iLIVER》2023年第1期73-87,共15页国际肝胆健康（英文）

基　　金：supported by grants from the National Natural Science Foundation of China(Nos.12071458 and 71731009).

摘　　要：The liver is the second-largest organ in the human body and is essential for digesting food and removing toxic substances.Viruses,obesity,alcohol use,and other factors can damage the liver and cause liver disease.The diagnosis of liver disease used to depend on the clinical experience of doctors,which made it subjective,difficult,and time-consuming.Deep learning has made breakthroughs in various fields;thus,there is a growing interest in using deep learning methods to solve problems in liver research to assist doctors in diagnosis and treatment.In this paper,we provide an overview of deep learning in liver research using 139 papers from the last 5 years.We also show the relationship between data modalities,liver topics,and applications in liver research using Sankey diagrams and summarize the deep learning methods used for each liver topic,in addition to the relations and trends between these methods.Finally,we discuss the challenges of and expectations for deep learning in liver research.

关 键 词：LIVER Deep learning Data modality Liver topic Application 

分 类 号：R575[医药卫生—消化系统]