Diagnosis of COVID-19 disease using CT scan images and pre-trained models

2022/08/16 by Faezeh Amouzegar, Hamid Mirvaziri, Amouzegar, Faezeh +5
Medicine · Computer Science · #COVID-19 diagnosis using AI #Radiomics and Machine Learning in Medical Imaging #AI in cancer detection

paper · pdf · doi:10.48550/arxiv.2208.07829

Abstract

Diagnosis of COVID-19 is necessary to prevent and control the disease. Deep learning methods have been considered a fast and accurate method. In this paper, by the parallel combination of three well-known pre-trained networks, we attempted to distinguish coronavirus-infected samples from healthy samples. The negative log-likelihood loss function has been used for model training. CT scan images in the SARS-CoV-2 dataset were used for diagnosis. The SARS-CoV-2 dataset contains 2482 images of lung CT scans, of which 1252 images belong to COVID-19-infected samples. The proposed model was close to 97% accurate.

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