Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
[HTML][HTML] Deep Learning for Pneumonia Detection in Chest X-ray Images: A Comprehensive Survey
This paper addresses the significant problem of identifying the relevant background and
contextual literature related to deep learning (DL) as an evolving technology in order to …
contextual literature related to deep learning (DL) as an evolving technology in order to …
[HTML][HTML] A multistage framework for respiratory disease detection and assessing severity in chest X-ray images
Chest Radiography is a non-invasive imaging modality for diagnosing and managing
chronic lung disorders, encompassing conditions such as pneumonia, tuberculosis, and …
chronic lung disorders, encompassing conditions such as pneumonia, tuberculosis, and …
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
Despite recent advancements in Federated Learning (FL) for medical image diagnosis,
addressing data heterogeneity among clients remains a significant challenge for practical …
addressing data heterogeneity among clients remains a significant challenge for practical …
[HTML][HTML] A high-accuracy lightweight network model for X-ray image diagnosis: A case study of COVID detection
S Wang, J Ren, X Guo - PloS one, 2024 - journals.plos.org
The Coronavirus Disease 2019 (COVID-19) has caused widespread and significant harm
globally. In order to address the urgent demand for a rapid and reliable diagnostic approach …
globally. In order to address the urgent demand for a rapid and reliable diagnostic approach …
[HTML][HTML] Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data
The diagnosis of severe COVID-19 lung infection is important because it carries a higher risk
for the patient and requires prompt treatment with oxygen therapy and hospitalization while …
for the patient and requires prompt treatment with oxygen therapy and hospitalization while …
Chaotic Satin Bowerbird Optimizer Based Advanced AI Techniques for Detection of COVID-19 Diseases from CT Scans Images
V Uma Maheswari, S Stephe, R Aluvalu… - New Generation …, 2024 - Springer
Abstract Background The SARS-CoV-2 virus, which caused the COVID-19 pandemic,
emerged in late 2019, leading to significant global health challenges due to the lack of …
emerged in late 2019, leading to significant global health challenges due to the lack of …
COVID-19 detection from Chest X-ray images using a novel lightweight hybrid CNN architecture
P Pradeep Dalvi, D Reddy Edla… - Multimedia Tools and …, 2024 - Springer
The pandemic of COVID-19 has affected worldwide population. Diagnosing this highly
contagious disease at an initial stage is essential for controlling its spread. In this paper, we …
contagious disease at an initial stage is essential for controlling its spread. In this paper, we …
Enhancing Computer-Aided Cervical Cancer Detection Using a Novel Fuzzy Rank-Based Fusion
Cervical cancer is a severe and pervasive disease that poses a significant health threat to
women globally. The Pap smear test is an efficient and effective method for detecting …
women globally. The Pap smear test is an efficient and effective method for detecting …
Analyzing the Utility of Fuzzy Logic in Calculating the Probability of Pulmonary
SK Srivastava, MK Mahto, DK Verma… - The Smart IoT Blueprint …, 2024 - books.google.com
Fuzzy good judgment is a sort of logic utilized in calculating the possibility of a pulmonary
effusion, or fluid accumulated inside the chest hollow space or within the lungs underneath …
effusion, or fluid accumulated inside the chest hollow space or within the lungs underneath …