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Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications
by
Kaczmarek, Mariusz
, Nowakowski, Antoni Z.
in
Algorithms
/ Artificial Intelligence
/ artificial intelligence methods
/ Body temperature
/ Cameras
/ Diagnostic imaging
/ Heat detection
/ Humans
/ Hyperthermia
/ Image processing
/ Image Processing, Computer-Assisted - methods
/ Infrared imaging
/ Infrared Rays
/ IR thermal imaging
/ Machine Learning
/ medical thermography
/ Medicine
/ Methods
/ Physiology
/ Review
/ Sensors
/ Skin
/ Thermography
/ Thermography - methods
2025
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Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications
by
Kaczmarek, Mariusz
, Nowakowski, Antoni Z.
in
Algorithms
/ Artificial Intelligence
/ artificial intelligence methods
/ Body temperature
/ Cameras
/ Diagnostic imaging
/ Heat detection
/ Humans
/ Hyperthermia
/ Image processing
/ Image Processing, Computer-Assisted - methods
/ Infrared imaging
/ Infrared Rays
/ IR thermal imaging
/ Machine Learning
/ medical thermography
/ Medicine
/ Methods
/ Physiology
/ Review
/ Sensors
/ Skin
/ Thermography
/ Thermography - methods
2025
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Do you wish to request the book?
Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications
by
Kaczmarek, Mariusz
, Nowakowski, Antoni Z.
in
Algorithms
/ Artificial Intelligence
/ artificial intelligence methods
/ Body temperature
/ Cameras
/ Diagnostic imaging
/ Heat detection
/ Humans
/ Hyperthermia
/ Image processing
/ Image Processing, Computer-Assisted - methods
/ Infrared imaging
/ Infrared Rays
/ IR thermal imaging
/ Machine Learning
/ medical thermography
/ Medicine
/ Methods
/ Physiology
/ Review
/ Sensors
/ Skin
/ Thermography
/ Thermography - methods
2025
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Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications
Journal Article
Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications
2025
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Overview
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.
Publisher
MDPI AG,MDPI
Subject
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