人工智能在 F-氟化钠正电子发射断层扫描/计算机断层扫描中的应用：现状与未来方向。
Applications of Artificial Intelligence in F-Sodium Fluoride Positron Emission Tomography/Computed Tomography:: Current State and Future Directions.
机构信息
Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA; Skeletal Disorders and Mineral Homeostasis Section, National Institute of Dental and Craniofacial Research, National Institutes of Health (NIH), 30 Convent Dr., Building 30, Room 228 MSC 4320, Bethesda, MD 20892, USA.
Department of Radiology and Imaging Sciences, Clinical Center, National Institutes of Health (NIH), 9000 Rockville Pike, Building 10, Room 1C455, Bethesda, MD 20892, USA; University of Queensland Faculty of Medicine, Ochsner Clinical School, New Orleans, LA 70121, USA.
出版信息
PET Clin. 2022 Jan;17(1):115-135. doi: 10.1016/j.cpet.2021.09.012.
This review discusses the current state of artificial intelligence (AI) in F-NaF-PET/CT imaging and the potential applications to come in diagnosis, prognostication, and improvement of care in patients with bone diseases, with emphasis on the role of AI algorithms in CT bone segmentation, relying on their prevalence in medical imaging and utility in the extraction of spatial information in combined PET/CT studies.
这篇综述讨论了人工智能（AI）在 F-NaF-PET/CT 成像中的现状，以及在诊断、预后和改善骨病患者护理方面的潜在应用，重点介绍了 AI 算法在 CT 骨分割中的作用，这依赖于它们在医学成像中的普遍性和在联合 PET/CT 研究中提取空间信息的实用性。
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