Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications

被引:1
|
作者
Nowakowski, Antoni Z. [1 ]
Kaczmarek, Mariusz [1 ]
机构
[1] Gdansk Univ Technol, Biomed Engn Dept, Narutowicza 11-12, PL-80233 Gdansk, Poland
关键词
medical thermography; IR thermal imaging; machine learning; artificial intelligence methods; INFRARED THERMOGRAPHY; TOOL;
D O I
10.3390/s25030891
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:31
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