A review of deep learning algorithms and their applications in healthcare
H Abdel-Jaber, D Devassy, A Al Salam, L Hidaytallah… - Algorithms, 2022 - mdpi.com
Deep learning uses artificial neural networks to recognize patterns and learn from them to
make decisions. Deep learning is a type of machine learning that uses artificial neural …
make decisions. Deep learning is a type of machine learning that uses artificial neural …
Transfer learning for mobile real-time face mask detection and localization
F Mercaldo, A Santone - Journal of the American Medical …, 2021 - academic.oup.com
Objective Due to the COVID-19 pandemic, our daily habits have suddenly changed.
Gatherings are forbidden and, even when it is possible to leave the home for health or work …
Gatherings are forbidden and, even when it is possible to leave the home for health or work …
Critical analysis of the current medical image-based processing techniques for automatic disease evaluation: systematic literature review
Medical image processing and analysis techniques play a significant role in diagnosing
diseases. Thus, during the last decade, several noteworthy improvements in medical …
diseases. Thus, during the last decade, several noteworthy improvements in medical …
Novel comparative study for the detection of COVID-19 using CT scan and chest X-ray images
The number of coronavirus disease (COVID-19) cases is constantly rising as the pandemic
continues, with new variants constantly emerging. Therefore, to prevent the virus from …
continues, with new variants constantly emerging. Therefore, to prevent the virus from …
A multi-label classification with an adversarial-based denoising autoencoder for medical image annotation
Medical image annotation aims to automatically describe the content of medical images. It
helps doctors to understand the content of medical images and make better informed …
helps doctors to understand the content of medical images and make better informed …
A Novel COVID-19 Diagnostic System Using Biosensor Incorporated Artificial Intelligence Technique
COVID-19, continually developing and raising increasingly significant issues, has impacted
human health and caused countless deaths. It is an infectious disease with a high incidence …
human health and caused countless deaths. It is an infectious disease with a high incidence …
Novel privacy preserving non-invasive sensing-based diagnoses of pneumonia disease leveraging deep network model
This article presents non-invasive sensing-based diagnoses of pneumonia disease,
exploiting a deep learning model to make the technique non-invasive coupled with security …
exploiting a deep learning model to make the technique non-invasive coupled with security …
COVID-19 disease detection using attention based Bi-Directional capsule network model
SS Makkapati, NN Rao - Biomedical Signal Processing and Control, 2024 - Elsevier
In recent years, coronavirus disease 2019 (COVID-19) has been identified as one of the
most infectious diseases spread all over the world. These existing methods faced limitations …
most infectious diseases spread all over the world. These existing methods faced limitations …
A Survey of the Application of Artifical Intellegence on COVID-19 Diagnosis and Prediction
The importance of classification algorithms has increased in recent years. Classification is a
branch of supervised learning with the goal of predicting class labels categorical of new …
branch of supervised learning with the goal of predicting class labels categorical of new …
A Survey of Deep Learning Applications for COVID-19 Detection Techniques Based on Medical Images.
RS Saeed, BK Oleiwi - Ingénierie des Systèmes d' …, 2022 - search.ebscohost.com
The outbreak of the new coronavirus (COVID-19) has created a disaster worldwide and it
became a very severe and acute disease. COVID-19 prevalence is rapidly increasing …
became a very severe and acute disease. COVID-19 prevalence is rapidly increasing …