洞察放射学:一个全面的对初学者综述
Francesco Mariotti1, Andrea Agostini1,2, Alessandra Borgheresi3,4
1Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto, 10/A, 60126, Ancona, Italy.
概括
这篇评论为研究人员提供了医学成像中的放射学和人工智能 (AI) 的实用指南. 它详细介绍了放射学工作流程,从数据准备到人工智能模型验证,以帮助临床和研究应用.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 放射学和人工智能正在改变医学成像,但也带来了技术挑战.
- 职业生涯早期的专业人士需要指导来整合这些技术.
研究的目的:
- 为在医学成像研究中实施放射学和AI提供实用指南.
- 提供有关放射学工作流程,挑战和未来方向的见解.
主要方法:
- 放射学工作流程的结构化概述.
- 详细的步骤包括数据集定义,图像预处理,细分,特征提取和AI模型培训/验证.
- 讨论各种方法,用说明性例子和图表进行讨论.
主要成果:
- 提供了对放射学管道的全面了解.
- 突出了实施中的实际考虑和潜在挑战.
- 为读者提供了实践研究知识.
结论:
- 这一审查使研究人员能够自信地在医学成像中接近放射学和人工智能.
- 促进放射学和人工智能在临床和研究环境中的整合.
- 旨在推动这些技术在现场的实际应用.
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