人工智能在PET/CT癌症成像中的潜力
Georgia Panagiota Vazoura1, Dimitrios Filos, Evanthia Giannoula
1Laboratory of Computing, Medical Informatics, and Biomedical-Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Box 323, 54124, Thessaloniki, Greece. georgiapv97@gmail.com.
Hellenic journal of nuclear medicine
|December 7, 2024
概括
人工智能 (AI) 增强了用于瘤学的正电子发射断层扫描/计算机断层扫描 (PET/CT) 成像. 机器学习和深度学习在瘤分类和诊断方面显示出可靠的结果,改善了癌症护理.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 核医学是一种核医学.
背景情况:
- pozitron发射断层扫描/计算机断层扫描 (PET/CT) 是一种混合成像技术,对于瘤学和医学诊断至关重要.
- 人工智能提供了潜在的解决方案,以增强核医学中医学成像的各个方面.
研究的目的:
- 审查人工智能 (AI) 在PET/CT成像中的最先进应用.
- 专注于人工智能在增强瘤细分,分类,诊断和瘤生存预测方面的作用.
主要方法:
- 对应用到PET/CT的人工智能,机器学习 (ML) 和深度学习 (DL) 的最新进展进行了审查.
- 对人工智能与放射学结合用于定量图像分析的应用进行分析.
主要成果:
- 人工智能应用显示出可靠的结果,特别是在PET/CT瘤学中的分类和诊断方面.
- 放射学通过从医疗图像中提取定量特征来促进AI模型的实施.
结论:
- 人工智能,ML和DL显著提高了PET/CT瘤学成像能力.
- 解决数据集大小,标准化和伦理方面的考虑对于在PET/CT中广泛采用人工智能的临床应用至关重要.
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