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人工智能在乳腺癌诊断中应用的研究进展 被引量:18

Research progress of artificial intelligence in diagnosis of breast cancer
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摘要 乳腺癌是世界范围内女性最常见的恶性肿瘤之一,严重威胁女性的身心健康,早期诊断和早期治疗是其良好预后的关键。人工智能(artificial intelligence,AI)是当今科技发展的代表性前沿技术,已在医学影像、病理、辅助决策、医学教育等方面取得了长足的进展,许多AI产品已经从实验阶段过渡到了临床应用阶段。在乳腺癌诊断领域,基于AI的乳腺癌影像技术不仅有望大大减轻临床医生的工作负担,同时也能够不断提高乳腺癌筛查和诊断的准确性及敏感性。本文就当前乳腺癌诊断领域中AI技术的发展及应用现状进行分析和综述,并对乳腺癌影像AI未来的发展方向进行展望,以期为相关AI技术的研究提供参考。 Breast cancer is the most common malignant tumor in women worldwide,which seriously threatens women's physical and mental health.Early detection and treatment are important in reducing mortality rates.Artificial intelligence is a representative frontier technology in the development of science and technology.It has made great progress in medical imaging,pathology,assistant decision-making system and medical education.Many AI products have transited from experimental stage to clinical application stage.In the field of breast cancer diagnosis,breast cancer imaging screening based on AI is not only expected to greatly reduce the workload of clinicians,but also to continuously improve the accuracy and sensitivity of breast cancer diagnosis.This paper reviews the current development and application of AI technology in breast cancer diagnosis,and prospects the future development direction of AI in breast cancer imaging and pathology,with a view to providing reference for the research of AI technology.
作者 商亮 郭宇峰 叶伟 汪兆鹏 仲雷 SHANG Liang;GUO Yufeng;YE Wei;WANG Zhaopeng;ZHONG Lei(Department of Breast Diseases,the Second Affiliated Hospital of Harbin Medical University,Heilongjiang Harbin 150000,China)
出处 《现代肿瘤医学》 CAS 北大核心 2021年第1期155-158,共4页 Journal of Modern Oncology
基金 国家级大学生创新创业计划训练项目(编号:201910226002) 2019年教育部-美科公司产学合作协同育人项目(编号:2020MK-CO-PA3009) 北京医学奖励基金会科研项目(编号:2019-046)。
关键词 乳腺癌 影像诊断 人工智能 深度学习 breast cancer diagnostic imaging artificial intelligence deep learning
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