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 …
A review on deep learning in medical image analysis
S Suganyadevi, V Seethalakshmi… - International Journal of …, 2022 - Springer
Ongoing improvements in AI, particularly concerning deep learning techniques, are
assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the …
assisting to identify, classify, and quantify patterns in clinical images. Deep learning is the …
CoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
Abstract Background and Objective The Coronavirus 2019, or shortly COVID-19, is a viral
disease that causes serious pneumonia and impacts our different body parts from mild to …
disease that causes serious pneumonia and impacts our different body parts from mild to …
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Abstract The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of
China in December 2019, spread rapidly around the world and became a pandemic. It has …
China in December 2019, spread rapidly around the world and became a pandemic. It has …
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study
Abstract The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019
has caused immense damage to health and global well-being. Currently, there are …
has caused immense damage to health and global well-being. Currently, there are …
[HTML][HTML] Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases
Abstract Corona Virus Disease (COVID-19) has been announced as a pandemic and is
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …
spreading rapidly throughout the world. Early detection of COVID-19 may protect many …
Automatic detection of coronavirus disease (covid-19) using x-ray images and deep convolutional neural networks
The 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread
rapidly among people living in other countries and is approaching approximately …
rapidly among people living in other countries and is approaching approximately …
Can AI help in screening viral and COVID-19 pneumonia?
Coronavirus disease (COVID-19) is a pandemic disease, which has already caused
thousands of causalities and infected several millions of people worldwide. Any …
thousands of causalities and infected several millions of people worldwide. Any …
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
Abstract Background and Objective The novel Coronavirus also called COVID-19 originated
in Wuhan, China in December 2019 and has now spread across the world. It has so far …
in Wuhan, China in December 2019 and has now spread across the world. It has so far …
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
A Abbas, MM Abdelsamea, MM Gaber - Applied Intelligence, 2021 - Springer
Chest X-ray is the first imaging technique that plays an important role in the diagnosis of
COVID-19 disease. Due to the high availability of large-scale annotated image datasets …
COVID-19 disease. Due to the high availability of large-scale annotated image datasets …