Abstract
Coronavirus Disease 2019 (COVID-19) is a deadly infection that affects the respiratory organs in humans as well as animals. By 2020, this disease turned out to be a pandemic affecting millions of individuals across the globe. Conducting rapid tests for a large number of suspects preventing the spread of the virus has become a challenge. In the recent past, several deep learning based approaches have been developed for automating the process of detecting COVID-19 infection from Lung Computerized Tomography (CT) scan images. However, most of them rely on a single model prediction for the final decision which may or may not be accurate. In this paper, we propose a novel ensemble approach that aggregates the strength of multiple deep neural network architectures before arriving at the final decision. We use various pre-trained models such as VGG16, VGG19, InceptionV3, ResNet50, ResNet50V2, InceptionResNetV2, Xception, and MobileNet and fine-tune them using Lung CT Scan images. All these trained models are further used to create a strong ensemble classifier that makes the final prediction. Our experiments exhibit that the proposed ensemble approach is superior to existing ensemble approaches and set state-of-the-art results for detecting COVID-19 infection from lung CT scan images.
Keywords: Computerized tomography (CT); Coronavirus disease 2019; Ensemble classifier; Pre-trained models; Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2); Transfer learning.
【저자키워드】 Coronavirus disease 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), transfer learning, Computerized tomography (CT), Ensemble classifier, Pre-trained models, 【초록키워드】 COVID-19, coronavirus disease, severe acute respiratory syndrome coronavirus 2, Coronavirus disease 2019, pandemic, deep learning, Human, Infection, tomography, severe acute respiratory syndrome Coronavirus, virus, Spread, Computerized tomography, Severe acute respiratory syndrome, Rapid test, COVID-19 infection, animals, experiment, respiratory, disease, strength, lung CT scan, Classifier, acute respiratory syndrome coronavirus, individual, Final, aggregate, organ, Affect, approach, fine-tune, globe, affecting, Conducting, trained model, 【제목키워드】 COVID-19, chest CT-scan,