期刊
EUROPEAN JOURNAL OF HYBRID IMAGING
卷 4, 期 1, 页码 -出版社
SPRINGERNATURE
DOI: 10.1186/s41824-020-00086-8
关键词
Molecular imaging; Radiation therapy; Artificial intelligence; Deep learning; Quantitative imaging
资金
- Swiss National Science Foundation [SNFN 320030_176052]
- Swiss Cancer Research Foundation [KFS-3855-02-2016]
This brief review summarizes the major applications of artificial intelligence (AI), in particular deep learning approaches, in molecular imaging and radiation therapy research. To this end, the applications of artificial intelligence in five generic fields of molecular imaging and radiation therapy, including PET instrumentation design, PET image reconstruction quantification and segmentation, image denoising (low-dose imaging), radiation dosimetry and computer-aided diagnosis, and outcome prediction are discussed. This review sets out to cover briefly the fundamental concepts of AI and deep learning followed by a presentation of seminal achievements and the challenges facing their adoption in clinical setting.
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