[HTML][HTML] A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques
K Subramaniam, N Palanisamy, RA Sinnaswamy… - Soft computing, 2023 - Springer
COVID-19, a highly infectious respiratory disease a used by SARS virus, has killed millions
of people across many countries. To enhance quick and accurate diagnosis of COVID-19 …
of people across many countries. To enhance quick and accurate diagnosis of COVID-19 …
[HTML][HTML] 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 …
A novel multispectral corner detector and a new local descriptor: an application to human posture recognition
Human posture recognition is an important task for intelligent systems specially those
performing action recognition. In this paper, we propose a novel multispectral corner …
performing action recognition. In this paper, we propose a novel multispectral corner …
A deep learning approach for automated COVID-19 detection
Sažetak Nowadays, COVID-19 is a life-threatening virus for human beings, and the reason
behind it is its attack on the respiratory system. A large number of cases of infection were …
behind it is its attack on the respiratory system. A large number of cases of infection were …
Machine Learning for Cracks Level Classification on Concrete Surfaces Using Histogram Oriented Gradient Features
Early inspection of concrete specimens before the concrete structure is used is a prevention
of concrete damage. Concrete damage to buildings and other infrastructures will threaten …
of concrete damage. Concrete damage to buildings and other infrastructures will threaten …
Effective-LDAM: An Effective Loss Function to Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
S Sree Rama Vamsidhar, BS Nunna… - … Conference on Computer …, 2023 - Springer
Deep Learning (DL) approaches have gained prominence in medical imaging for disease
diagnosis. Chest X-ray (CXR) classification has emerged as an effective method for …
diagnosis. Chest X-ray (CXR) classification has emerged as an effective method for …
Detection of Dangerous Driver Health Problems Using HOG-Autoencoder
R Fusek, J Halman, E Sojka, J Gaura - International Conference on …, 2023 - Springer
In this paper, we present a method that can be used to detect unexpected driver health
problems (eg stroke, heart attack, epileptic or similar types of seizures). Obviously, in such …
problems (eg stroke, heart attack, epileptic or similar types of seizures). Obviously, in such …
Diagnosing Chest X-Ray Images of Unseen Style Using Transfer Learning
MM Rahman, MAI Evan, S Tamjid… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Accurate and robust diagnostic tools are in critical need for the healthcare domain. This
study proposes a novel method for diagnosing COVID-19 and pneumonia from chest X-ray …
study proposes a novel method for diagnosing COVID-19 and pneumonia from chest X-ray …
Covid-19 Detection Using CNN Model with CT Scan Images
GLS Akhilesh, K Lokesh, DVPM Teja… - 2023 International …, 2023 - ieeexplore.ieee.org
Corona virus, a serious respiratory viral disease, has been spreading fast all over the world
since the beginning of 2020. Over 30 million individuals and even more than normal rate …
since the beginning of 2020. Over 30 million individuals and even more than normal rate …
Multi-Classification Model for Distinguishing Covid-19 from Different Lung Diseases Based on Deep Learning Algorithms
MAA Al-Salamony, A Ismail, H Elbakry - Labyrinth: Fayoum Journal …, 2023 - journals.ekb.eg
The Corona-Virus is a worldwide pandemic classified as one of the scariest viruses,
according toar the World Health Organization (WHO). That's because of its effect on the …
according toar the World Health Organization (WHO). That's because of its effect on the …