COVID-19 image classification using deep learning: Advances, challenges and opportunities
Abstract Corona Virus Disease-2019 (COVID-19), caused by Severe Acute Respiratory
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
Syndrome-Corona Virus-2 (SARS-CoV-2), is a highly contagious disease that has affected …
An overview of deep learning methods for multimodal medical data mining
Deep learning methods have achieved significant results in various fields. Due to the
success of these methods, many researchers have used deep learning algorithms in …
success of these methods, many researchers have used deep learning algorithms in …
Explainable COVID-19 detection using chest CT scans and deep learning
This paper explores how well deep learning models trained on chest CT images can
diagnose COVID-19 infected people in a fast and automated process. To this end, we …
diagnose COVID-19 infected people in a fast and automated process. To this end, we …
Covid-transformer: Interpretable covid-19 detection using vision transformer for healthcare
In the recent pandemic, accurate and rapid testing of patients remained a critical task in the
diagnosis and control of COVID-19 disease spread in the healthcare industry. Because of …
diagnosis and control of COVID-19 disease spread in the healthcare industry. Because of …
Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis
Chest X-ray (CXR) imaging is a low-cost, easy-to-use imaging alternative that can be used
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …
to diagnose/screen pulmonary abnormalities due to infectious diseaseX: Covid-19 …
COVID-19 detection using federated machine learning
M Abdul Salam, S Taha, M Ramadan - Plos one, 2021 - journals.plos.org
The current COVID-19 pandemic threatens human life, health, and productivity. AI plays an
essential role in COVID-19 case classification as we can apply machine learning models on …
essential role in COVID-19 case classification as we can apply machine learning models on …
Detection of Covid-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated …
G Celik - Applied Soft Computing, 2023 - Elsevier
Covid-19 has become a worldwide epidemic which has caused the death of millions in a
very short time. This disease, which is transmitted rapidly, has mutated and different …
very short time. This disease, which is transmitted rapidly, has mutated and different …
Densely connected convolutional networks-based COVID-19 screening model
The extensively utilized tool to detect novel coronavirus (COVID-19) is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and consume critical …
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and consume critical …
Lddnet: a deep learning framework for the diagnosis of infectious lung diseases
This paper proposes a new deep learning (DL) framework for the analysis of lung diseases,
including COVID-19 and pneumonia, from chest CT scans and X-ray (CXR) images. This …
including COVID-19 and pneumonia, from chest CT scans and X-ray (CXR) images. This …
Incremental learning-based cascaded model for detection and localization of tuberculosis from chest x-ray images
Rapid treatment protocols such as X-ray and CT scans have played a crucial role in the
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …
diagnosis of tuberculosis (TB infection). Automatic detection of CXR is required to speed up …