任怡璇?崔容宇

    【摘要】 人工智能深度学习技术在医学影像领域中的应用是近年来的研究热点。单光子计算机断层显像(SPECT)作为核医学影像诊断中的重要分支，为临床提供可靠的影像信息，特别是在功能显像方面具有独特优势。该文回顾近年来深度学习在SPECT中主要研究方向、研究价值和应用现状，总结现阶段各研究中存在的不足，并对未来的研究进行展望。

    【關键词】 深度学习；人工智能；单光子计算机断层显像；核医学；研究进展

    Research progress in deep learning in single-photon computed tomography Ren Yixuan， Cui Rongyu△.△Chengdu Neusoft University， Dujianyan 681844， China

    Corresponding author， Cui Rongyu， E-mail： 18661072213@163.com

    【Abstract】 The research of artificial intelligence deep learning technology has become a hot topic in the field of medical imaging in recent years. As an important branch of nuclear medicine imaging diagnosis， single-photon emission computer tomography (SPECT) has unique advantages in providing reliable image information for clinicians， especially in functional imaging. In this article， the main research directions， values and application status of deep learning in SPECT in recent years were reviewed， the main problems existing in current research were summarized ......