Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
[HTML][HTML] Combating COVID-19 using generative adversarial networks and artificial intelligence for medical images: scoping review
Background: Research on the diagnosis of COVID-19 using lung images is limited by the
scarcity of imaging data. Generative adversarial networks (GANs) are popular for synthesis …
scarcity of imaging data. Generative adversarial networks (GANs) are popular for synthesis …
[HTML][HTML] Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images
The current COVID-19 pandemic, that has caused more than 100 million cases as well as
more than two million deaths worldwide, demands the development of fast and accurate …
more than two million deaths worldwide, demands the development of fast and accurate …
[HTML][HTML] Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images
Tuberculosis is an infectious disease that mainly affects the lung tissues. Therefore, chest X-
ray imaging can be very useful to diagnose and to understand the evolution of the …
ray imaging can be very useful to diagnose and to understand the evolution of the …
Leveraging GANs for data scarcity of COVID-19: Beyond the hype
Artificial Intelligence (AI)-based models can help in diagnosing COVID-19 from lung CT
scans and X-ray images; however, these models require large amounts of data for training …
scans and X-ray images; however, these models require large amounts of data for training …
A review of deep learning imaging diagnostic methods for Covid-19
T Zhou, F Liu, H Lu, C Peng, X Ye - Electronics, 2023 - mdpi.com
COVID-19 (coronavirus disease 2019) is a new viral infection disease that is widely spread
worldwide. Deep learning plays an important role in COVID-19 images diagnosis. This …
worldwide. Deep learning plays an important role in COVID-19 images diagnosis. This …
[HTML][HTML] A vision transformer machine learning model for COVID-19 diagnosis using chest X-ray images
This study leverages machine learning to enhance the diagnostic accuracy of COVID-19
using chest X-rays. The study evaluates various architectures, including efficient neural …
using chest X-rays. The study evaluates various architectures, including efficient neural …
Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients
Background The COVID-19 can cause long-term symptoms in the patients after they
overcome the disease. Given that this disease mainly damages the respiratory system, these …
overcome the disease. Given that this disease mainly damages the respiratory system, these …
[HTML][HTML] Context encoder transfer learning approaches for retinal image analysis
During the last years, deep learning techniques have emerged as powerful alternatives to
solve biomedical image analysis problems. However, the training of deep neural networks …
solve biomedical image analysis problems. However, the training of deep neural networks …
Portable chest X-ray synthetic image generation for the COVID-19 screening
The global pandemic of COVID-19 raises the importance of having fast and reliable methods
to perform an early detection and to visualize the evolution of the disease in every patient …
to perform an early detection and to visualize the evolution of the disease in every patient …