A Novel Deep Learning-Based Classification Framework for COVID-19 Assisted with Weighted Average Ensemble Modeling

GS Chakraborty, S Batra, A Singh, G Muhammad… - Diagnostics, 2023 - mdpi.com
COVID-19 is an infectious disease caused by the deadly virus SARS-CoV-2 that affects the
lung of the patient. Different symptoms, including fever, muscle pain and respiratory …

COVID-ConvNet: a convolutional neural network classifier for diagnosing COVID-19 infection

IAL Alablani, MJF Alenazi - Diagnostics, 2023 - mdpi.com
The novel coronavirus (COVID-19) pandemic still has a significant impact on the worldwide
population's health and well-being. Effective patient screening, including radiological …

A Brief Overview of Deep Learning-Based Diagnostic Systems for the Detection of COVID-19 Using Medical Imaging

GS Chakraborty, S Batra - … and Bio-Inspired Computing: Proceedings of …, 2023 - Springer
COVID-19 is known as a deadly viral infection which can be transmitted through human to
human, and it took the attention of the world when WHO declared it as an epidemic. The very …

Transfer learning with fine-tuned deep CNN model for COVID-19 diagnosis from chest X-ray images

M Patel, M Shah - International Journal of Advanced …, 2023 - search.proquest.com
The COVID-19 pandemic has had a significant impact on people's lives, necessitating
accurate detection and early diagnosis to control the dissemination of virus. Reverse …

AI based detection of COVID-19 pneumonia in chest X-ray images using ResNet50

S Bhardwaj, NM Garg, T Singh, A Gupta - AIP Conference Proceedings, 2023 - pubs.aip.org
Since early months of 2020s, when Corona virus disease-2019 (COVID-19) first appeared,
the major challenge for the healthcare sector was to identify, monitor the disease and take …

An Efficient Approach to detect the Pneumonia Using Advanced Deep Learning Techniques

J Jyostna, M Santhoshi - 2023 4th IEEE Global Conference for …, 2023 - ieeexplore.ieee.org
Pneumonia is a lung infection that mostly affects people in developing and underdeveloped
countries. Chest X-rays are the most common way to diagnose this condition. Even an …

Comparison of diagnostic accuracy of the artificial intelligence system with human readers in the diagnosis of portable chest x-rays during the COVID-19 pandemic

LR David, W Elshami, A Alshuweihi… - … in Biomedical and …, 2023 - journals.lww.com
Background: Evaluating the performance of the available machine learning software is
fundamental to ensure trustworthiness and improve automated diagnosis. This study …

Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing

S Tasnim, S Sarker, P Bhoumik, KM Al Maruf, R Hasib… - 2023 - dspace.bracu.ac.bd
Despite various preventative measures and therapies, the COVID-19 pandemic has
exposed a number of weaknesses and vulnerabilities in global health systems, particularly …

[引用][C] Covid-attention: Efficient covid19 detection using pre-trained deep models based on vision transformers and x-ray images

IE Haouli, W Hariri… - International Journal on …, 2023 - World Scientific
COVID19 is becoming more and more threatening to human life since the appearance of
many variants like Alpha, Omicron and Delta. These variants have dozens of mutations that …