Ms. Luxi Zhang Profile

Luxi Zhang

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Proceedings Article | 11 November 2022 Paper

Radiomics’ application for diagnosis and treatment of COVID-19: A review

Kai Li, Tianyi Zhang, Yunzhang Cheng, Luxi Zhang

Proceedings Volume 12301, 1230126 (2022) https://doi.org/10.1117/12.2644594

KEYWORDS: Computed tomography, Medical imaging, Image segmentation, Lung, Image analysis, Chest, Image processing, Data modeling, Statistical modeling, Feature selection

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The rapid development of Machine Learning (ML), Machine Vision and imaging technology has greatly promoted medical imaging and Intelligent Medical Engineering. Radiomics combines medical imaging with Big Data, Machine Learning and other technologies to realize the diagnosis and treatment of Corona Virus Disease 2019 (COVID-19) by obtaining and analyzing lung image characteristics. This paper systematically reviews the realization process of radiomics in COVID-19, the latest research on radiomics in COVID-19's diagnosis, classification and prognosis, as well as the problems and challenges faced in this research field. By and large, radiomics provides great potential and application value in the diagnosis, classification and prognosis of COVID-19. It makes up for the deficiency of doctor's diagnosis and Reverse Transcription-Polymerase Chain Reaction (RT-PCR) test, and provides an effective and feasible method for improving the diagnosis and treatment level of COVID-19 with low cost, high efficiency and accuracy.

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