深度学习在肝胆恶性肿瘤诊疗中的应用进展  

Application progress of deep learning in diagnosis and treatment of hepatobiliary malignancies

作　　者：魏芳强 汪火根 金朝汇 梁磊 张成武[1] 杨田 Wei Fangqiang;Wang Huogen;Jin Chaohui;Liang Lei;Zhang Chengwu;Yang Tian(Department of Hepatobiliary and Pancreatic Surgery,Zhejiang Provincial People′s Hospital,Hangzhou Medical College,Zhejiang Hangzhou 310014,China;Zhejiang Royal Flush Network Technology Co.,Ltd,Zhejiang Hangzhou 310023,China;College of Computer Science and Technology,Zhejiang University,Zhejiang Hangzhou 310013,China;Department of Hepatobiliary Surgery,Eastern Hepatobiliary Surgery Hospital of Naval Medical University,Shanghai 200438,China)

机构地区：[1]浙江省人民医院肝胆胰外科杭州医学院附属人民医院,浙江杭州310014 [2]浙江核新同花顺网络信息股份有限公司,浙江杭州310023 [3]浙江大学计算机科学与技术学院,浙江杭州310013 [4]海军军医大学东方肝胆外科医院肝胆外科,上海200438

出　　处：《腹部外科》2022年第1期67-71,共5页Journal of Abdominal Surgery

基　　金：国家自然科学基金(81972726,81871949,81572345);浙江省基础公益研究计划项目(LGF21H030011);浙江省医药卫生科技计划面上项目(2021KY027);浙江省人民医院优秀青年科研基金(ZRY2020B012)。

摘　　要：随着人工智能技术的普及和深入,作为其重要分支的深度学习技术也迅猛发展。深度学习技术通过学习大量数据的深层次规律,模拟人类学习和分析能力,在医学领域有较好的应用前景。肝胆恶性肿瘤是目前医学界的诊治难点,也是我国常见的恶性肿瘤。深度学习技术有望为肝胆恶性肿瘤的诊治提供新思路,其不仅有利于提高疾病的诊断率和改善病人的预后,也能提供更多精细、便捷的医疗服务与学习平台。此文旨在介绍深度学习技术特点及其近年来在肝胆恶性肿瘤外科领域诊治的应用前景。With greater popularization and deepening of artificial intelligence technology,deep learning technology,as its important branch,has also developed rapidly.Deep learning technology simulates human learning and analytic capability through acquiring deep rules of mega-data and enjoys a bright application prospect in medical field.Proper management of hepatobiliary malignancies is always difficult in clinical practices.Deep learning is not only conducive to boost the diagnostic rate and improve patient prognosis,but also to provide clinicians and patients with more sophisticated and convenient medical services and learning platforms.This review summarized the characteristics of deep learning technology and its latest surgical applications for hepatobiliary malignancies.

关 键 词：深度学习 肝胆恶性肿瘤 诊治 应用进展 

分 类 号：R735[医药卫生—肿瘤]