Related Experiment Video
Updated: Jul 5, 2025
Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
Published on: May 5, 2011
Smartphone-based detection of COVID-19 and associated pneumonia using thermal imaging and a transfer learning
Oshrit Hoffer1, Rafael Y Brzezinski2,3,4,5, Adam Ganim1
1School of Electrical Engineering, Afeka Tel Aviv Academic College of Engineering, Tel Aviv, Israel.
None:
COVID-19-related pneumonia is typically diagnosed using chest x-ray or computed tomography images. However, these techniques can only be used in hospitals. In contrast, thermal cameras are portable, inexpensive devices that can be connected to smartphones. Thus, they can be used to detect and monitor medical conditions outside hospitals. Herein, a smartphone-based application using thermal images of a human back was developed for COVID-19 detection. Image analysis using a deep learning algorithm revealed a sensitivity and specificity of 88.7% and 92.3%, respectively. The findings support the future use of noninvasive thermal imaging in primary screening for COVID-19 and associated pneumonia.
