测试技术学报2024，Vol.38Issue(2)：93-99,7.DOI:10.3969/j.issn.1671-7449.2024.02.001
人工智能辅助的太赫兹成像无标记检测识别方法研究
Research on Artificial Intelligence Assisted Terahertz Imaging Identification for Label-Free Detection
摘要
Abstract
Low-level laser therapy(LLLT)has been considered as a new noninvasive photodynamic therapy that provide local treatment.Currently,the development of LLLT is limited by the complexity of medical assay methods and the requirements of professional experience in identification of light formulas for different diseases.Here,a label-free identification method based on artificial intelligence(AI)assisted terahertz imaging is proposed for efficient light formulas in LLLT of acute lung injury(ALI).The AI-assisted label-free terahertz imaging is performed by automatic identification algorithm based on a voting classifier.The results indicate that the therapeutic effect of LLLT with different light wavelength and irra-diation time for ALI can be identified by this method with a high accuracy of 91.7%,which may serve as a new tool for further development and application of LLLT.关键词
低强度激光治疗/太赫兹成像/人工智能/随机森林/支持向量机Key words
low-level laser therapy/Terahertz imaging/artificial intelligence/random forest/support vector machine分类
生物科学引用本文复制引用
王少娜,郭艳苗,郭泽康,李响..人工智能辅助的太赫兹成像无标记检测识别方法研究[J].测试技术学报,2024,38(2):93-99,7.基金项目
国家自然科学基金资助项目(61901297) （61901297）
