COVID-19 and pneumonia detection using x-ray image-based deep learning methods

Yuxiao Li

doi:10.1117/12.2659497

22 November 2022 COVID-19 and pneumonia detection using x-ray image-based deep learning methods

Yuxiao Li

Proceedings Volume 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022); 124750J (2022) https://doi.org/10.1117/12.2659497
Event: Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022, Hulun Buir, China

Abstract

Globally, pneumonia is the leading cause of death for young people and children. An x-ray of the chest is usually used to diagnose pneumonia by a trained specialist. However, the process is tedious and can result in disagreements among radiologists. It is possible to improve diagnostic accuracy through the use of computer-aided diagnostic systems. In this work, the ResNet model was selected to work as the COVID-19 and pneumonia detector based on x-ray image. Several experiments are conducted on to achieve an optimal result.

Citation Download Citation

Yuxiao Li "COVID-19 and pneumonia detection using x-ray image-based deep learning methods", Proc. SPIE 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 124750J (22 November 2022); https://doi.org/10.1117/12.2659497

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