使用人工智能技术进行肺部CT纹理分析 ——应用、局限性与临床潜力的综合分析
摘要
像特征对非资深影像医师可能难以识别，导致诊断延误或重复检查，增加患者辐射暴露风险。因此，尽可能从有限
影像中提取疾病特征显得尤为重要。
基于人工智能的CT纹理分析可以检测人眼难以察觉的特征，提供量化、客观的诊断评估。为全面了解肺部病变
纹理分析现状，本综述总结了相关研究，重点探讨两大研究流程：基于模型的方法（如深度学习）和基于定量分析
的方法。此外，本文分析了这些技术的应用现状及局限性，提出人工智能在辅助诊断中的主要挑战，以期帮助患者
尽早确诊、减少重复检查，并为未来研究提供指导。
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