Yet the variable quality of clinically-acquired CXRs within publicly available datasets could have a profound effect on algorithm performance. Large publicly available CXR datasets have been leveraged to improve deep learning algorithms for COVID-19 diagnosis. The image analysis community has attempted to ease the burden on overstretched radiology departments during the pandemic by developing automated COVID-19 diagnostic algorithms, the input for which has been CXR imaging. This variation is seen in the CXR projections used, image annotations added and in the inspiratory effort and degree of rotation of clinical images. The obtained average accuracy of the proposed model is 95.4% and other evaluation metrics also show better results compared with the original RepVGG model.ĭuring the COVID-19 pandemic, the sheer volume of imaging performed in an emergency setting for COVID-19 diagnosis has resulted in a wide variability of clinical CXR acquisitions. A COVID-19 radiography database consisting of 3 classes COVID-19, Normal and Viral Pneumonia is conducted. Afterwards, the encoder part in VAE is preserved as an additional feature extractor to combine with RepVGG performing classification. Besides, variational autoencoder (VAE) is firstly trained to perform lung segmentation. In this research, RepVGG pre-trained model is considered to be used as the main backbone of the network. Applying deep learning in medical imaging becomes an advanced research trend in many applications.
![normal chest x ray findings normal chest x ray findings](https://media.sciencephoto.com/image/c0366420/800wm/C0366420-Normal_chest_X-ray.jpg)
Due to the shortage of RT-PCR toolkit in global, Chest X-Ray (CXR) image is introduced as an initial step to support patient’s classification. Reverse transcription-polymerase chain reaction (RT-PCR) is known as a standard method for the COVID-19 diagnosis process. Therefore, due to the similar symptoms of SARS-CoV-2 virus and other pneumonia, identifying COVID-19 still exists some challenges. In order to stop the spreading of disease, early diagnosis and quarantine of infected people are one of the most essential steps. Millions of fatal cases have been reported worldwide as a result of the Coronavirus disease 2019 (COVID-19) outbreak.