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用于医学应用的红外热成像与传感中的人工智能

Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications.

作者信息

Nowakowski Antoni Z, Kaczmarek Mariusz

机构信息

Biomedical Engineering Department, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland.

出版信息

Sensors (Basel). 2025 Feb 1;25(3):891. doi: 10.3390/s25030891.

Abstract

The state of the art in IR thermal imaging methods for applications in medical diagnostics is discussed. A review of advances in IR thermal imaging technology in the years 1960-2024 is presented. Recently used artificial intelligence (AI) methods in the analysis of thermal images are the main interest. IR thermography is discussed in view of novel applications of machine learning methods for improved diagnostic analysis and medical treatment. The AI approach aims to improve image quality by denoising thermal images, using applications of AI super-resolution algorithms, removing artifacts, object detection, face and characteristic features localization, complex matching of diagnostic symptoms, etc.

摘要

讨论了用于医学诊断的红外热成像方法的技术现状。介绍了1960年至2024年红外热成像技术的进展回顾。近期在热图像分析中使用的人工智能(AI)方法是主要关注点。鉴于机器学习方法在改进诊断分析和医学治疗方面的新应用,对红外热成像进行了讨论。人工智能方法旨在通过对热图像进行去噪、应用人工智能超分辨率算法、去除伪影、目标检测、面部和特征定位、诊断症状的复杂匹配等来提高图像质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c18/11820461/952ee41fa4ca/sensors-25-00891-g001.jpg

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