[HTML][HTML] Machine-learning-based disease diagnosis: A comprehensive review
MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …
complexity of the different disease mechanisms and underlying symptoms of the patient …
[HTML][HTML] Review of COVID-19 testing and diagnostic methods
O Filchakova, D Dossym, A Ilyas, T Kuanysheva… - Talanta, 2022 - Elsevier
More than six billion tests for COVID-19 has been already performed in the world. The
testing for SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) virus and …
testing for SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) virus and …
Tools and techniques for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)/COVID-19 detection
SUMMARY The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …
respiratory disease coronavirus 2 (SARS-CoV-2), has led to millions of confirmed cases and …
[HTML][HTML] COVID-19: a review on the novel coronavirus disease evolution, transmission, detection, control and prevention
A Sharma, I Ahmad Farouk, SK Lal - Viruses, 2021 - mdpi.com
Three major outbreaks of the coronavirus, a zoonotic virus known to cause respiratory
disease, have been reported since 2002, including SARS-CoV, MERS-CoV and the most …
disease, have been reported since 2002, including SARS-CoV, MERS-CoV and the most …
[HTML][HTML] COVID-19: angiotensin-converting enzyme 2 (ACE2) expression and tissue susceptibility to SARS-CoV-2 infection
S Beyerstedt, EB Casaro, ÉB Rangel - European journal of clinical …, 2021 - Springer
COVID-19 pandemic is caused by the novel coronavirus SARS-CoV-2. Angiotensin-
converting enzyme 2 (ACE2) is not only an enzyme but also a functional receptor on cell …
converting enzyme 2 (ACE2) is not only an enzyme but also a functional receptor on cell …
[HTML][HTML] Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond
Abstract Explainable Artificial Intelligence (XAI) is an emerging research topic of machine
learning aimed at unboxing how AI systems' black-box choices are made. This research field …
learning aimed at unboxing how AI systems' black-box choices are made. This research field …
A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation
H Jiang, Z Diao, T Shi, Y Zhou, F Wang, W Hu… - Computers in Biology …, 2023 - Elsevier
Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …
processing with the advancement of deep learning in natural image classification, detection …
Digital technology use during COVID‐19 pandemic: A rapid review
The relationship between humans and digital technologies has been documented
extensively in the past decades, but has yet to be reviewed through the lens of the current …
extensively in the past decades, but has yet to be reviewed through the lens of the current …
[HTML][HTML] Deep learning based detection and analysis of COVID-19 on chest X-ray images
Covid-19 is a rapidly spreading viral disease that infects not only humans, but animals are
also infected because of this disease. The daily life of human beings, their health, and the …
also infected because of this disease. The daily life of human beings, their health, and the …
Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …