[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 …
In silico simulation: a key enabling technology for next-generation intelligent surgical systems
To mitigate the challenges of operating through narrow incisions under image guidance,
there is a desire to develop intelligent systems that assist decision making and spatial …
there is a desire to develop intelligent systems that assist decision making and spatial …
The contribution of digital health in the response to COVID-19 in Vietnam
Emerging from early of 2020, the COVID-19 pandemic has become one of the most serious
health crisis globally. In response to such threat, a wide range of digital health applications …
health crisis globally. In response to such threat, a wide range of digital health applications …
TRCT-GAN: CT reconstruction from biplane X-rays using transformer and generative adversarial networks
Computed tomography (CT) provides a three-dimensional view of a patient's internal
organs. Compared to CT volumes, X-ray imaging can significantly reduce the patient's …
organs. Compared to CT volumes, X-ray imaging can significantly reduce the patient's …
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 …
Neural radiance projection
The proposed method, Neural Radiance Projection (NeRP), addresses the three most
fundamental shortages of training such a convolutional neural network on X-ray image …
fundamental shortages of training such a convolutional neural network on X-ray image …
A survey on deep learning advances and emerging issues in pneumonia and covid19 prediction
As the COVID19 pandemic evolves and coronavirus mutates to different variants, a high
workload falls on the shoulders of doctors and radiologists. Identifying COVID19 through X …
workload falls on the shoulders of doctors and radiologists. Identifying COVID19 through X …
[PDF][PDF] Improving RepVGG model with variational data imputation in COVID-19 classification
Millions of fatal cases have been reported worldwide as a result of the Coronavirus disease
2019 (COVID-19) outbreak. In order to stop the spreading of disease, early diagnosis and …
2019 (COVID-19) outbreak. In order to stop the spreading of disease, early diagnosis and …
CNN Features and optimized generative adversarial network for COVID-19 detection from chest X-ray images
Coronavirus is a RNA type virus, which makes various respiratory infections in both human
as well as animals. In addition, it could cause pneumonia in humans. The Coronavirus …
as well as animals. In addition, it could cause pneumonia in humans. The Coronavirus …
Algorithms with Physics Inspiration Used in Biomedical Imaging for a Better Future
M Robinson Joel, V Ebenezer… - Smart Healthcare and …, 2024 - Springer
Algorithms inspired by physics are increasingly being used in biomedical imaging; these
algorithms make use of physics principles to increase image reconstruction, improve …
algorithms make use of physics principles to increase image reconstruction, improve …