Infrared imaging for human thermography and breast tumor classification using thermal images
Farooq, Muhammad Ali Corcoran, Peter
Farooq, Muhammad Ali
Corcoran, Peter
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Repository DOI
Publication Date
2020-08-31
Type
Conference Paper
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Citation
Farooq, Muhammad Ali, & Corcoran, Peter. (2020). Infrared imaging for human thermography and breast tumor classification using thermal images. Paper presented at the 31st Irish Signals and Systems Conference (ISSC), Letterkenny, Ireland, 11-20 June. doi:10.1109/issc49989.2020.9180164
Abstract
Human thermography is considered to be an integral medical diagnostic tool for detecting heat patterns and measuring quantitative temperature data of the human body. It can be used in conjunction with other medical diagnostic procedures for getting comprehensive medication results. In the proposed study we have highlighted the significance of Infrared Thermography (IRT) and the role of machine learning in thermal medical image analysis for human health monitoring and various disease diagnosis in preliminary stages. The first part of the proposed study provides comprehensive information about the application of IRT in the diagnosis of various diseases such as skin and breast cancer detection in preliminary stages, dry eye syndromes, and ocular issues, liver disease, diabetes diagnosis and last but not least the novel COVID-19 virus. Whereas in the second phase we have proposed an autonomous breast tumor classification system using thermal breast images by employing state of the art Convolution Neural Network (CNN). The system achieves the overall accuracy of 80% and recall rate of 83.33%.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publisher DOI
10.1109/issc49989.2020.9180164
Rights
Attribution-NonCommercial-NoDerivs 3.0 Ireland