xViTCOS: explainable vision transformer based COVID-19 screening using radiography
Objective: Since its outbreak, the rapid spread of COrona VIrus Disease 2019 (COVID-19)
across the globe has pushed the health care system in many countries to the verge of …
across the globe has pushed the health care system in many countries to the verge of …
Deep learning methods for interpretation of pulmonary CT and X-ray images in patients with COVID-19-related lung involvement: a systematic review
MH Lee, A Shomanov, M Kudaibergenova… - Journal of Clinical …, 2023 - mdpi.com
SARS-CoV-2 is a novel virus that has been affecting the global population by spreading
rapidly and causing severe complications, which require prompt and elaborate emergency …
rapidly and causing severe complications, which require prompt and elaborate emergency …
Adaptive UNet-based lung segmentation and ensemble learning with CNN-based deep features for automated COVID-19 diagnosis
A Das - Multimedia Tools and Applications, 2022 - Springer
COVID-19 disease is a major health calamity in twentieth century, in which the infection is
spreading at the global level. Developing countries like Bangladesh, India, and others are …
spreading at the global level. Developing countries like Bangladesh, India, and others are …
A systematic literature review on machine learning and deep learning-based covid-19 detection frameworks using X-ray Images
S Maheswari, S Suresh, SA Ali - Applied Soft Computing, 2024 - Elsevier
Coronavirus is an endangered disease to kills more than millions of people, but it has also
put tremendous pressure on the whole medical system. The initial stage of identification of …
put tremendous pressure on the whole medical system. The initial stage of identification of …
[HTML][HTML] An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms
COVID-19 is a respiratory disease that, as of July 15th, 2021, has infected more than 187
million people worldwide and is responsible for more than 4 million deaths. An accurate …
million people worldwide and is responsible for more than 4 million deaths. An accurate …
MFL-Net: An efficient lightweight multi-scale feature learning CNN for COVID-19 diagnosis from CT images
Timely and accurate diagnosis of coronavirus disease 2019 (COVID-19) is crucial in curbing
its spread. Slow testing results of reverse transcription-polymerase chain reaction (RT-PCR) …
its spread. Slow testing results of reverse transcription-polymerase chain reaction (RT-PCR) …
Classifier fusion for detection of COVID-19 from CT scans
Abstract The coronavirus disease (COVID-19) is an infectious disease caused by the SARS-
CoV-2 virus. COVID-19 is found to be the most infectious disease in last few decades. This …
CoV-2 virus. COVID-19 is found to be the most infectious disease in last few decades. This …
Machine Learning with Quantum Seagull Optimization Model for COVID‐19 Chest X‐Ray Image Classification
Early and accurate detection of COVID‐19 is an essential process to curb the spread of this
deadly disease and its mortality rate. Chest radiology scan is a significant tool for early …
deadly disease and its mortality rate. Chest radiology scan is a significant tool for early …
LiMS-Net: A lightweight multi-scale CNN for COVID-19 detection from chest CT scans
Recent years have witnessed a rise in employing deep learning methods, especially
convolutional neural networks (CNNs) for detection of COVID-19 cases using chest CT …
convolutional neural networks (CNNs) for detection of COVID-19 cases using chest CT …
[HTML][HTML] A study of bio-inspired computing in bioinformatics: a state-of-the-art literature survey
AK Mandal, PKD Sarma… - The Open …, 2023 - openbioinformaticsjournal.com
Background: Bioinspired computing algorithms are population-based probabilistic search
optimization approaches inspired by biological evolution and activity. These are highly …
optimization approaches inspired by biological evolution and activity. These are highly …