Coronavirus Pneumonia Classification Using X-Ray and CT Scan Images With Deep Convolutional Neural Network Models

Coronavirus Pneumonia Classification Using X-Ray and CT Scan Images With Deep Convolutional Neural Network Models

Brahami Menaouer, Dermane Zoulikha, Kebir Nour El-Houda, Sabri Mohammed, Nada Matta
Copyright: © 2022 |Pages: 23
DOI: 10.4018/JITR.299391
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Abstract

Pneumonia is a life-threatening infectious disease affecting one or both lungs in humans. There are mainly two types of pneumonia: bacterial and viral. Likewise, patients with coronavirus can develop symptoms that belong to the common flu, pneumonia, and other respiratory diseases. Chest X-rays are the common method used to diagnose coronavirus pneumonia and it needs a medical expert to evaluate the result of X-ray. Furthermore, DL has garnered great attention among researchers in recent years in a variety of application domains such as medical image processing, computer vision, bioinformatics, and many others. In this paper, we present a comparison of Deep Convolutional Neural Networks models for automatically binary classification query chest X-ray & CT images dataset with the goal of taking precision tools to health professionals based on fined recent versions of ResNet50, InceptionV3, and VGGNet. The experiments were conducted using a chest X-ray & CT open dataset of 5856 images and confusion matrices are used to evaluate model performances.
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1. Introduction

In most literature, pneumonia is an acute respiratory infection that affects the lungs which can be detected by analyzing chest x-rays. Generally, it is observed that bacterial pneumonia causes more acute symptoms (Hashmi et al. 2020). One of main complications caused by Coronavirus is pneumonia. For (Pereira et al. 2020), the COVID-19 can cause severe pneumonia and is estimated to have a high impact on the healthcare system (Sethy & Behera, 2020). Pneumonia cannot be classified as a single disease, but rather as a group of different infections with different characteristics. According to (Kadam et al. 2019), it is an acute respiratory infection which affects the lungs which can be detected by analyzing chest x-rays. For (Militante & Sibbaluca, 2020), patients diagnosed with pneumonia shows the chest cavity signs of fluids filling the air sacs of lungs as for the radiograph picture appears brighter (see Figure 1.).

Figure 1.

Pneumonia Diagram

JITR.299391.f01

In today's world, several Coronavirus have passed over the species barrier to cause deadly pneumonia in humans. The global spread of the epidemic had proceeded with such an accelerated speed that hospitals and medical centers witnessed teeming scenarios in a matter of weeks. The origin of Covid-19 is said to be in the starting of December 2019, when several patients from Wuhan, Hubei Province reported severe respiratory infections (Huang et al. 2020). Covid-19 has spread extremely rapidly in recent weeks with a very high number of infections affecting Algeria and most countries in the world. World Health Organization (WHO) and its partners have been working with global experts to learn more about the virus. Their main focus of study are as follows: (1) how it is transmitted, (2) the populations most at risk, and (3) the most effective ways to detect, interrupt, and contain transmission. The outbreak of the disease has made the WHO to declare the international emergency.

Many research work has been underway to investigate the actual fact of the disease. Latter the World Health Organization (WHO) has renamed the disease as Corona Virus Disease (Covid-19). This new virus called Covid-19 was identified in Wuhan, China in December 2019 (Tiana et al. 2020; Zhang et al. 2020). The incubation period for Covid-19 based on WHO reports varies from 2 to 14 days in human to human transmission, with the average incubation period recorded as 5-6 days (Shirani et al. 2020). According to virology experts, similar to other respiratory viruses, severe acute respiratory syndrome coronavirus (SARS-COV-2) may enter the brain via the hematogenous or neuronal route (Haddadi et al. 2020; Haddadi & Asadian, 2020).

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