[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
COVID-19, a worldwide pandemic that has affected many people and thousands of
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI
Chest X-ray (CXR) images are considered useful to monitor and investigate a variety of
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
pulmonary disorders such as COVID-19, Pneumonia, and Tuberculosis (TB). With recent …
A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
Cascade multiscale residual attention cnns with adaptive roi for automatic brain tumor segmentation
A brain tumor is one of the fatal cancer types which causes abnormal growth of brain cells.
Earlier diagnosis of a brain tumor can play a vital role in its treatment; however, manual …
Earlier diagnosis of a brain tumor can play a vital role in its treatment; however, manual …
Tuberculosis chest X-ray detection using CNN-based hybrid segmentation and classification approach
Tuberculosis still significantly impacts the world's population, with more than 10 million
people getting sick each year. Researchers have focused on developing computer-aided …
people getting sick each year. Researchers have focused on developing computer-aided …
[HTML][HTML] Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture
In recent years, coronavirus (Covid-19) has evolved into one of the world's leading life-
threatening severe viral illnesses. A self-executing accord system might be a better option to …
threatening severe viral illnesses. A self-executing accord system might be a better option to …
Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach
COVID-19 has caused over 528 million infected cases and over 6.25 million deaths since its
outbreak in 2019. The uncontrolled transmission of the SARS-CoV-2 virus has caused …
outbreak in 2019. The uncontrolled transmission of the SARS-CoV-2 virus has caused …
[HTML][HTML] Covid-net cxr-2: An enhanced deep convolutional neural network design for detection of covid-19 cases from chest x-ray images
As the COVID-19 pandemic devastates globally, the use of chest X-ray (CXR) imaging as a
complimentary screening strategy to RT-PCR testing continues to grow given its routine …
complimentary screening strategy to RT-PCR testing continues to grow given its routine …
Deep learning for COVID-19 screening using chest x-rays in 2020: A systematic review
KC Santosh, S Ghosh, D GhoshRoy - International Journal of …, 2022 - World Scientific
Artificial Intelligence (AI) has promoted countless contributions in the field of healthcare and
medical imaging. In this paper, we thoroughly analyze peer-reviewed research …
medical imaging. In this paper, we thoroughly analyze peer-reviewed research …
A novel multi-task learning network based on melanoma segmentation and classification with skin lesion images
Melanoma is known worldwide as a malignant tumor and the fastest-growing skin cancer
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …