新医学2024,Vol.55Issue(3) :159-164.DOI:10.3969/j.issn.0253-9802.2024.03.002

人工智能深度学习在单光子计算机断层显像中的研究进展

Research progress in deep learning in single-photon computed tomography

任怡璇 崔容宇
新医学2024,Vol.55Issue(3) :159-164.DOI:10.3969/j.issn.0253-9802.2024.03.002

人工智能深度学习在单光子计算机断层显像中的研究进展

Research progress in deep learning in single-photon computed tomography

任怡璇 1崔容宇2
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作者信息

  • 1. 214000 无锡,上海交通大学医学院附属瑞金医院无锡分院核医学科
  • 2. 681844 都江堰,成都东软学院
  • 折叠

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.

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,and the future research was predicted.

关键词

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

Key words

Deep learning/Artificial intelligence/Single-photon computed tomography/Nuclear medicine/Research progress

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出版年

2024
新医学
中山大学

新医学

CSTPCD
影响因子:0.8
ISSN:0253-9802
参考文献量32
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