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] A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging
Abstract Purpose To review eXplainable Artificial Intelligence/(XAI) methods available for
medical imaging/(MI). Method A scoping review was conducted following the Joanna Briggs …
medical imaging/(MI). Method A scoping review was conducted following the Joanna Briggs …
D2BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI …
Background and Objective: In 2019, a corona virus disease (COVID-19) was detected in
China that affected millions of people around the world. On 11 March 2020, the WHO …
China that affected millions of people around the world. On 11 March 2020, the WHO …
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
A Hamza, M Attique Khan, SH Wang… - Frontiers in Public …, 2022 - frontiersin.org
The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a
result, it has disastrous consequences for people's lives, public health, and the global …
result, it has disastrous consequences for people's lives, public health, and the global …
MFMANet: Multi-feature Multi-attention Network for efficient subtype classification on non-small cell lung cancer CT images
H Xiao, Q Liu, L Li - Biomedical Signal Processing and Control, 2023 - Elsevier
Lung cancer is one of the most prevalent diseases worldwide, being the most common type
of cancer. Non-small cell lung cancer (NSCLC) with a five-year survival rate of less than …
of cancer. Non-small cell lung cancer (NSCLC) with a five-year survival rate of less than …
A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms
Breast cancer is the second most frequent cancer worldwide, following lung cancer and the
fifth leading cause of cancer death and a major cause of cancer death among women. In …
fifth leading cause of cancer death and a major cause of cancer death among women. In …
A Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare
Artificial intelligence technologies such as machine learning and deep learning employ
techniques to anticipate results more effectively without human involvement. Since AI …
techniques to anticipate results more effectively without human involvement. Since AI …
A CNN-transformer fusion network for COVID-19 CXR image classification
K Cao, T Deng, C Zhang, L Lu, L Li - PLoS One, 2022 - journals.plos.org
The global health crisis due to the fast spread of coronavirus disease (Covid-19) has caused
great danger to all aspects of healthcare, economy, and other aspects. The highly infectious …
great danger to all aspects of healthcare, economy, and other aspects. The highly infectious …
Predicting breast cancer leveraging supervised machine learning techniques
S Aamir, A Rahim, Z Aamir, SF Abbasi… - … Methods in Medicine, 2022 - Wiley Online Library
Breast cancer is one of the leading causes of increasing deaths in women worldwide. The
complex nature (microcalcification and masses) of breast cancer cells makes it quite difficult …
complex nature (microcalcification and masses) of breast cancer cells makes it quite difficult …
Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection
S Krishnamoorthy, Y Zhang, S Kadry… - Computational …, 2023 - Wiley Online Library
Malfunctions in the immune system cause multiple sclerosis (MS), which initiates mild to
severe nerve damage. MS will disturb the signal communication between the brain and …
severe nerve damage. MS will disturb the signal communication between the brain and …