放射学和机器学习应用于核医学中的甲状腺疾病:系统性审查
Francesco Dondi1, Roberto Gatta2, Giorgio Treglia3,4,5
1Nuclear Medicine, ASST Spedali Civili di Brescia, P.le Spedali Civili, 1, Brescia, 25123, Italy.
Reviews in endocrine & metabolic disorders
|July 11, 2023
概括
放射学和机器学习 (ML) 在使用核医学成像来诊断甲状腺疾病方面表现有前途. 需要进一步的多中心研究来验证这些发现的临床应用.
科学领域:
- 核医学成像技术 核医学成像技术
- 无线电学 (Radiomics) 是一种无线电学.
- 机器学习 (ML) 是指机器学习.
背景情况:
- 越来越多的证据支持放射学和ML在评估甲状腺疾病.
- 本系统性审查分析了这些技术在核医学中的诊断性能.
结论:
- 放射学和ML在甲状腺疾病评估中发挥了有前途的作用.
- 在多中心研究中验证对于这些方法的临床转化至关重要.
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