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Tarik El Lel, Mominul Ahsan and Julfikar Haider
Starting in late 2019, the coronavirus SARS-CoV-2 began spreading around the world and causing disruption in both daily life and healthcare systems. The disease is estimated to have caused more than 6 million deaths worldwide [WHO]. The pandemic and the ...
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Domantas Kuzinkovas and Sandhya Clement
Advances in the field of image classification using convolutional neural networks (CNNs) have greatly improved the accuracy of medical image diagnosis by radiologists. Numerous research groups have applied CNN methods to diagnose respiratory illnesses fr...
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Clara Freijo, Joaquin L. Herraiz, Fernando Arias-Valcayo, Paula Ibáñez, Gabriela Moreno, Amaia Villa-Abaunza and José Manuel Udías
Chest X-rays (CXRs) represent the first tool globally employed to detect cardiopulmonary pathologies. These acquisitions are highly affected by scattered photons due to the large field of view required. Scatter in CXRs introduces background in the images...
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Shubham Mathesul, Debabrata Swain, Santosh Kumar Satapathy, Ayush Rambhad, Biswaranjan Acharya, Vassilis C. Gerogiannis and Andreas Kanavos
The COVID-19 pandemic has posed significant challenges in accurately diagnosing the disease, as severe cases may present symptoms similar to pneumonia. Real-Time Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) is the conventional diagnostic tech...
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Ali Reza Sajun, Imran Zualkernan and Donthi Sankalpa
Semi-supervised learning can effectively be used to detect the chest X-rays affected by COVID-19.
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Naeem Ullah, Javed Ali Khan, Sultan Almakdi, Mohammad Sohail Khan, Mohammed Alshehri, Dabiah Alboaneen and Asaf Raza
The suspected cases of COVID-19 must be detected quickly and accurately to avoid the transmission of COVID-19 on a large scale. Existing COVID-19 diagnostic tests are slow and take several hours to generate the required results. However, on the other han...
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Albatoul S. Althenayan, Shada A. AlSalamah, Sherin Aly, Thamer Nouh and Abdulrahman A. Mirza
Coronavirus disease (COVID-19) is a viral pneumonia that originated in China and has rapidly spread around the world. Early diagnosis is important to provide effective and timely treatment. Thus, many studies have attempted to solve the COVID-19 classifi...
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Sanjeevkumar Hatture,Madhu Koravanavar,Rashmi Saini
Pág. 94 - 100
In recent years there is heavy demand in healthcare systems due to COVID-19 pandemic. The COVID-19 will mainly cause the Lung infections, which affected the whole world very badly during last two years and still continues to affecting the world, this cau...
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Marwa Ben Jabra, Anis Koubaa, Bilel Benjdira, Adel Ammar and Habib Hamam
The COVID-19 disease has spread all over the world, representing an intriguing challenge for humanity as a whole. The efficient diagnosis of humans infected by COVID-19 still remains an increasing need worldwide. The chest X-ray imagery represents, among...
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Mohamed Chetoui, Moulay A. Akhloufi, Bardia Yousefi and El Mostafa Bouattane
The coronavirus pandemic is spreading around the world. Medical imaging modalities such as radiography play an important role in the fight against COVID-19. Deep learning (DL) techniques have been able to improve medical imaging tools and help radiologis...
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