A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection
COVID-19 is a virus that causes upper respiratory tract and lung infections. The number of
cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a …
cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a …
An efficient deep learning model to detect COVID-19 using chest X-ray images
S Chakraborty, B Murali, AK Mitra - International Journal of Environmental …, 2022 - mdpi.com
The tragic pandemic of COVID-19, due to the Severe Acute Respiratory Syndrome
coronavirus-2 or SARS-CoV-2, has shaken the entire world, and has significantly disrupted …
coronavirus-2 or SARS-CoV-2, has shaken the entire world, and has significantly disrupted …
COVID-19 patient detection based on fusion of transfer learning and fuzzy ensemble models using CXR images
The COVID-19 pandemic has claimed the lives of millions of people and put a significant
strain on healthcare facilities. To combat this disease, it is necessary to monitor affected …
strain on healthcare facilities. To combat this disease, it is necessary to monitor affected …
Detecting Covid19 and pneumonia from chest X-ray images using deep convolutional neural networks
NS Kavya, N Veeranjaneyulu, DD Priya - Materials Today: Proceedings, 2022 - Elsevier
With the current COVID19 pandemic, we have to weigh human life, prosperity, and value,
while implicitly acknowledging that controlling case spread and mortality is a challenge …
while implicitly acknowledging that controlling case spread and mortality is a challenge …
A deep transfer learning approach for COVID-19 detection and exploring a sense of belonging with Diabetes
COVID-19 is an epidemic disease that results in death and significantly affects the older
adult and those afflicted with chronic medical conditions. Diabetes medication and high …
adult and those afflicted with chronic medical conditions. Diabetes medication and high …
Multi-classification of chest X-rays for COVID-19 diagnosis using deep learning algorithms
Accurate detection of COVID-19 is of immense importance to help physicians intervene with
appropriate treatments. Although RT-PCR is routinely used for COVID-19 detection, it is …
appropriate treatments. Although RT-PCR is routinely used for COVID-19 detection, it is …
Covid-19net: An effective and robust approach for covid-19 detection using ensemble of convnet-24 and customized pre-trained models
The Coronavirus is extremely harmful to human lungs, and hence early detection is critical to
prevent the virus from spreading. However, the cumulative workflow in the routine diagnostic …
prevent the virus from spreading. However, the cumulative workflow in the routine diagnostic …
Machine Learning–Based Diagnosis of Covid-19 using Clinical Data
MN Gowda, D Singh, M Rakhra - 2022 3rd International …, 2022 - ieeexplore.ieee.org
Coronavirus (COVID-19) is a worldwide pandemic caused by SARS Coronavirus 2.(SARS-
CoV-2). The COVID-19 epidemic has put global healthcare systems in jeopardy. This study's …
CoV-2). The COVID-19 epidemic has put global healthcare systems in jeopardy. This study's …
Application of deep learning algorithm in the recognition of cryptococcosis and talaromycosis skin lesions
W Wei, X He, X Bao, G Wang, Q Luo, L Chen… - Mycoses, 2023 - Wiley Online Library
Background Cryptococcosis and talaromycosis are known as 'neglected epidemics' due to
their high case fatality rates and low concern. Clinically, the skin lesions of the two fungal …
their high case fatality rates and low concern. Clinically, the skin lesions of the two fungal …
[HTML][HTML] Uncertain-cam: Uncertainty-based ensemble machine voting for improved covid-19 cxr classification and explainability
The ongoing coronavirus disease 2019 (COVID-19) pandemic has had a significant impact
on patients and healthcare systems across the world. Distinguishing non-COVID-19 patients …
on patients and healthcare systems across the world. Distinguishing non-COVID-19 patients …