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人工智能在功能与分子影像学的研究进展

郑博文 陈卫国 秦耿耿

郑博文, 陈卫国, 秦耿耿. 人工智能在功能与分子影像学的研究进展[J]. 分子影像学杂志, 2020, 43(1): 1-6. doi: 10.12122/j.issn.1674-4500.2020.01.01
引用本文: 郑博文, 陈卫国, 秦耿耿. 人工智能在功能与分子影像学的研究进展[J]. 分子影像学杂志, 2020, 43(1): 1-6. doi: 10.12122/j.issn.1674-4500.2020.01.01
Bowen ZHENG, Weiguo CHEN, Genggeng QIN. Implementation of artificial intelligence in functional and molecular imaging[J]. Journal of Molecular Imaging, 2020, 43(1): 1-6. doi: 10.12122/j.issn.1674-4500.2020.01.01
Citation: Bowen ZHENG, Weiguo CHEN, Genggeng QIN. Implementation of artificial intelligence in functional and molecular imaging[J]. Journal of Molecular Imaging, 2020, 43(1): 1-6. doi: 10.12122/j.issn.1674-4500.2020.01.01

人工智能在功能与分子影像学的研究进展

doi: 10.12122/j.issn.1674-4500.2020.01.01
基金项目: 广东省自然科学基金(2018A0303130215);广东科技计划项目(2016ZC0058);广东省医学科学技术研究基金(A2017496);南方医科大学科研启动计划项目(QD2016N010)
详细信息
    作者简介:

    郑博文,硕士,E-mail:bowen0762@163.com

    通讯作者:

    秦耿耿,副主任医师,E-mail:zealotq@smu.edu.cn

Implementation of artificial intelligence in functional and molecular imaging

  • 摘要: 功能与分子影像学能够提供组织器官功能变化及细胞或分子事件的时间和空间分布信息,而人工智能是一门新兴的计算机技术,在医学影像中具有广泛的应用。将人工智能应用到功能影像学,能够使影像科医生更加高效、充分地利用得到的信息,更加深入地挖掘图像的生物学本质,在疾病早期诊断、有效治疗、预后预测、探索发病机制等方面均具有重要意义。本文将重点阐述人工智能在功能与分子影像学中图像处理、图像解释及质量控制的应用与进展。

     

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出版历程
  • 收稿日期:  2019-12-06
  • 刊出日期:  2020-01-01

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