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作 者:郑元杰[1] 宋景琦 Zheng Yuanjie;Song Jingqi(School of Information Science and Engineering,Shandong Normal University,250358,Jinan,China)
机构地区:[1]山东师范大学信息科学与工程学院,济南250358
出 处:《山东师范大学学报(自然科学版)》2020年第2期197-207,共11页Journal of Shandong Normal University(Natural Science)
基 金:国家自然科学基金资助项目(61572300,81871508,61773246).
摘 要:近年来,人工智能技术在图像处理、辅助诊断等方面取得了巨大的进步,基于人工智能的医学诊断系统可以作为辅助工具,提高医生影像诊断的准确率.目前人工智能在乳腺影像方面的应用得到了越来越多的关注,也积累了许多研究成果.本文在介绍常用乳腺癌检查影像学方法及相关人工智能技术基础上,着重对人工智能在不同乳腺癌影像分类诊断中的研究现状和进展予以综述,并对主要的应用技术予以总结,分析了人工智能在乳腺影像诊断中面临的挑战和机遇.In recent years,artificial intelligence technology has made remarkable progress in image processing,auxiliary diagnosis and other aspects.Medical diagnosis system based on artificial intelligence can be used as an auxiliary tool to improve the accuracy of image diagnosis of doctors.At present,more and more attention has been paid to the application of artificial intelligence in breast imaging,and numerous research results have been accumulated.Based on the introduction of the commonly used methods of breast cancer imaging and the related artificial intelligence technology,this paper mainly summarizes the research status and progress of artificial intelligence in different breast cancer image classification diagnosis as well as the main application technologies,and also analyzes the challenges and opportunities of artificial intelligence in breast image diagnosis.
分 类 号:TP301.7[自动化与计算机技术—计算机系统结构]
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