UncertaintyFuseNet: robust uncertainty-aware hierarchical feature fusion model with ensemble Monte Carlo dropout for COVID-19 detection
Abstract The COVID-19 (Coronavirus disease 2019) pandemic has become a major global
threat to human health and well-being. Thus, the development of computer-aided detection …
threat to human health and well-being. Thus, the development of computer-aided detection …
[HTML][HTML] An explainable artificial intelligence model for identifying local indicators and detecting lung disease from chest X-ray images
S prasad Koyyada, TP Singh - Healthcare Analytics, 2023 - Elsevier
One of the primary responsibilities of radiologists is to diagnose lung illness using chest X-
ray images. The radiologist examines the patchy infection in the imaging and makes a …
ray images. The radiologist examines the patchy infection in the imaging and makes a …
Explainable knowledge distillation for on-device chest x-ray classification
C Termritthikun, A Umer… - IEEE/ACM …, 2023 - ieeexplore.ieee.org
Automated multi-label chest X-rays (CXR) image classification has achieved substantial
progress in clinical diagnosis via utilizing sophisticated deep learning approaches …
progress in clinical diagnosis via utilizing sophisticated deep learning approaches …
A Review on Deep Learning based diagnosis of COVID-19 from X-ray and CT Images
V Kumar - 2022 International Mobile and Embedded …, 2022 - ieeexplore.ieee.org
More than 400 million cases of the new coronavirus (COVID-19) have been confirmed since
December 2019 in more than 200 countries. Since the spread of original COVID-19 virus …
December 2019 in more than 200 countries. Since the spread of original COVID-19 virus …
A Systematic Survey of Automatic Detection of Lung Diseases from Chest X-Ray Images: COVID-19, Pneumonia, and Tuberculosis
SP Koyyada, TP Singh - SN Computer Science, 2024 - Springer
Chest X-ray images (CXR) can convey a great deal about a patient's condition; hence, the
standard chest radiograph should be reconsidered. Interpretation of radiographs is …
standard chest radiograph should be reconsidered. Interpretation of radiographs is …
Performance, Trust, or both? COVID-19 Diagnosis and Prognosis using Deep Ensemble Transfer Learning on X-ray Images✱
The COVID-19 pandemic still affects most parts of the world today. Despite a lot of research
on diagnosis, prognosis, and treatment, a big challenge today is the limited number of expert …
on diagnosis, prognosis, and treatment, a big challenge today is the limited number of expert …
Speed-enhanced convolutional neural networks for COVID-19 classification using X-rays
P Kaur, A Kaur - Multimedia Tools and Applications, 2024 - Springer
COVID-19 emerged as a pandemic in December 2019. This virus targets the pulmonary
systems of humans. Therefore, chest radiographic imaging is required to monitor effect of the …
systems of humans. Therefore, chest radiographic imaging is required to monitor effect of the …
Novel neural network architecture using sharpened cosine similarity for robust classification of Covid-19, pneumonia and tuberculosis diseases from X-rays
E Balan, O Saraniya - Journal of Intelligent & Fuzzy Systems, 2023 - content.iospress.com
COVID-19 is a rapidly proliferating transmissible virus that substantially impacts the world
population. Consequently, there is an increasing demand for fast testing, diagnosis, and …
population. Consequently, there is an increasing demand for fast testing, diagnosis, and …
Arithmetic optimization algorithm with deep learning-based medical X-ray image classification model
T Kumar, R Ponnusamy - Inventive Computation and Information …, 2023 - Springer
Recently, number of medical X-ray images being generated is increasing rapidly due to the
advancements in radiological equipment in medical centres. Medical X-ray image …
advancements in radiological equipment in medical centres. Medical X-ray image …
Interpretable vision transformer based on prototype parts for COVID‐19 detection
Y Xu, Z Meng - IET Image Processing, 2024 - Wiley Online Library
Over the past few years, the COVID‐19 virus has had a significant impact on the physical
and mental health of people around the world. Therefore, in order to effectively distinguish …
and mental health of people around the world. Therefore, in order to effectively distinguish …