AIMC Topic: Thermography

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A Spatiotemporal Deep Neural Network Useful for Defect Identification and Reconstruction of Artworks Using Infrared Thermography.

Sensors (Basel, Switzerland)
Assessment of cultural heritage assets is now extremely important all around the world. Non-destructive inspection is essential for preserving the integrity of artworks while avoiding the loss of any precious materials that make them up. The use of I...

Accurate detection of dairy cow mastitis with deep learning technology: a new and comprehensive detection method based on infrared thermal images.

Animal : an international journal of animal bioscience
Mastitis is one of the most common diseases in dairy cows and has a negative impact on their welfare and life, causing significant economic losses to the dairy industry. Many attempts have been made to develop a detection method for mastitis using th...

Support vector machine based methodology for classification of thermal images pertaining to breast cancer.

Journal of thermal biology
Breast cancer has been and continues to be a cause of major health concern for women. It is more prevalent in old age, but its incidence has increased in recent years in groups below 50 years old, as in India. According to the Indian Council of Medic...

Towards Exercise Radiomics: Deep Neural Network-Based Automatic Analysis of Thermal Images Captured During Exercise.

IEEE journal of biomedical and health informatics
Infrared thermography is increasingly applied in sports science due to promising observations regarding changes in skin's surface radiation temperature ( T) before, during, and after exercise. The common manual thermogram analysis limits an objective...

Fine Alignment of Thermographic Images for Robotic Inspection of Parts with Complex Geometries.

Sensors (Basel, Switzerland)
Increasing the efficiency of the quality control phase in industrial production lines through automation is a rapidly growing trend. In non-destructive testing, active thermography techniques are known for their suitability to allow rapid non-contact...

Camera fusion for real-time temperature monitoring of neonates using deep learning.

Medical & biological engineering & computing
The continuous monitoring of vital signs is a crucial aspect of medical care in neonatal intensive care units. Since cable-based sensors pose a potential risk for the immature skin of preterm infants, unobtrusive monitoring techniques using camera sy...

Contactless monitoring of human respiration using infrared thermography and deep learning.

Physiological measurement
. To monitor the human respiration rate (RR) using infrared thermography (IRT) and artificial intelligence, in a completely contactless, automated, and non-invasive manner.. The human breathing signals (BS) were obtained using IRT, by plotting the ch...

Thermography based skin allergic reaction recognition by convolutional neural networks.

Scientific reports
In this work we present an automated approach to allergy recognition based on neural networks. Allergic reaction classification is an important task in modern medicine. Currently it is done by humans, which has obvious drawbacks, such as subjectivity...

Tool Condition Monitoring of the Cutting Capability of a Turning Tool Based on Thermography.

Sensors (Basel, Switzerland)
In turning, the wear control of a cutting tool benefits product quality enhancement, tool-related costs' optimisation, and assists in avoiding undesired events. In small series and individual production, the machine operator is the one who determines...

Combining Genetic Algorithms and SVM for Breast Cancer Diagnosis Using Infrared Thermography.

Sensors (Basel, Switzerland)
Breast cancer is one of the leading causes of mortality globally, but early diagnosis and treatment can increase the cancer survival rate. In this context, thermography is a suitable approach to help early diagnosis due to the temperature difference ...