tetano
Editor, Senior Moderator
SN Comput Sci
. 2021;2(5):371.
doi: 10.1007/s42979-021-00762-x. Epub 2021 Jul 8.
HOG + CNN Net: Diagnosing COVID-19 and Pneumonia by Deep Neural Network from Chest X-Ray Images
Mohammad Marufur Rahman[SUP] 1 [/SUP], Sheikh Nooruddin[SUP] 1 [/SUP], K M Azharul Hasan[SUP] 1 [/SUP], Nahin Kumar Dey[SUP] 1 [/SUP]
Affiliations
Abstract
Coronavirus disease 2019 in short COVID-19 is a contagious disease caused by coronavirus SARS-CoV-2, which has caused a global pandemic and still infecting millions around the globe. COVID-19 has made an enormous impact on everybody's day-to-day life. One of the main strengths of COVID-19 is its extraordinary infectious capability. Early detection systems can thus play a big role in curbing the exponential growth of COVID-19. Some medical radiography techniques, such as chest X-rays and chest CT scans, are used for fast and reliable detection of coronavirus-induced pneumonia. In this paper, we propose a histogram of oriented gradients and deep convolutional network-based model that can find out the specific abnormality in frontal chest X-ray images and effectively classify the data into COVID-19 positive, pneumonia positive, and normal classes. The proposed system performed effectively in terms of various performance measures and proved capable as an effective early detection system.
Keywords: COVID-19; Convolution Neural Network (CNN); Histogram-Oriented Gradients (HOG); Pneumonia; X-ray images.
. 2021;2(5):371.
doi: 10.1007/s42979-021-00762-x. Epub 2021 Jul 8.
HOG + CNN Net: Diagnosing COVID-19 and Pneumonia by Deep Neural Network from Chest X-Ray Images
Mohammad Marufur Rahman[SUP] 1 [/SUP], Sheikh Nooruddin[SUP] 1 [/SUP], K M Azharul Hasan[SUP] 1 [/SUP], Nahin Kumar Dey[SUP] 1 [/SUP]
Affiliations
- PMID: 34254055
- PMCID: PMC8264179
- DOI: 10.1007/s42979-021-00762-x
Abstract
Coronavirus disease 2019 in short COVID-19 is a contagious disease caused by coronavirus SARS-CoV-2, which has caused a global pandemic and still infecting millions around the globe. COVID-19 has made an enormous impact on everybody's day-to-day life. One of the main strengths of COVID-19 is its extraordinary infectious capability. Early detection systems can thus play a big role in curbing the exponential growth of COVID-19. Some medical radiography techniques, such as chest X-rays and chest CT scans, are used for fast and reliable detection of coronavirus-induced pneumonia. In this paper, we propose a histogram of oriented gradients and deep convolutional network-based model that can find out the specific abnormality in frontal chest X-ray images and effectively classify the data into COVID-19 positive, pneumonia positive, and normal classes. The proposed system performed effectively in terms of various performance measures and proved capable as an effective early detection system.
Keywords: COVID-19; Convolution Neural Network (CNN); Histogram-Oriented Gradients (HOG); Pneumonia; X-ray images.