Deep learning in nuclear medicine: from imaging to therapy.

Journal: Annals of nuclear medicine
PMID:

Abstract

BACKGROUND: Deep learning, a leading technology in artificial intelligence (AI), has shown remarkable potential in revolutionizing nuclear medicine.

Authors

  • Meng-Xin Zhang
    Department of Microbiology and Immunology, Henan Provincial Research Center of Engineering Technology for Nuclear Protein Medical Detection, Zhengzhou Health College, Zhengzhou, 45000, Henan, China.
  • Peng-Fei Liu
    Department of Microbiology and Immunology, Henan Provincial Research Center of Engineering Technology for Nuclear Protein Medical Detection, Zhengzhou Health College, Zhengzhou, 45000, Henan, China.
  • Meng-Di Zhang
  • Pei-Gen Su
    Department of Microbiology and Immunology, Henan Provincial Research Center of Engineering Technology for Nuclear Protein Medical Detection, Zhengzhou Health College, Zhengzhou, 45000, Henan, China.
  • He-Shan Shang
    Department of Microbiology and Immunology, Henan Provincial Research Center of Engineering Technology for Nuclear Protein Medical Detection, Zhengzhou Health College, Zhengzhou, 45000, Henan, China.
  • Jiang-Tao Zhu
    Faculty of Basic Medical Subjects, Shu-Qing Medical College of Zhengzhou, Zhengzhou, 450064, Henan, China. zjt229626@163.com.
  • Da-Yong Wang
    Department of Microbiology and Immunology, Henan Provincial Research Center of Engineering Technology for Nuclear Protein Medical Detection, Zhengzhou Health College, Zhengzhou, 45000, Henan, China. hdyfywdy@163.com.
  • Xin-Ying Ji
    Department of Microbiology and Immunology, Henan Provincial Research Center of Engineering Technology for Nuclear Protein Medical Detection, Zhengzhou Health College, Zhengzhou, 45000, Henan, China. 10190096@vip.henu.edu.cn.
  • Qi-Ming Liao
    Department of Medical Informatics and Computer, Shu-Qing Medical College of Zhengzhou, Gong-Ming Rd, Mazhai Town, Erqi District, Zhengzhou, 450064, Henan, China. lqm6606@163.com.