Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
ABSTRACT The Coronavirus (COVID-19) outbreak in December 2019 has drastically
affected humans worldwide, creating a health crisis that has infected millions of lives and …
affected humans worldwide, creating a health crisis that has infected millions of lives and …
COVID-19 detection in chest X-ray images using deep boosted hybrid learning
The new emerging COVID-19, declared a pandemic disease, has affected millions of human
lives and caused a massive burden on healthcare centers. Therefore, a quick, accurate, and …
lives and caused a massive burden on healthcare centers. Therefore, a quick, accurate, and …
IoT malware detection architecture using a novel channel boosted and squeezed CNN
Interaction between devices, people, and the Internet has given birth to a new digital
communication model, the internet of things (IoT). The integration of smart devices to …
communication model, the internet of things (IoT). The integration of smart devices to …
A new deep hybrid boosted and ensemble learning-based brain tumor analysis using MRI
Brain tumor analysis is essential to the timely diagnosis and effective treatment of patients.
Tumor analysis is challenging because of tumor morphology factors like size, location …
Tumor analysis is challenging because of tumor morphology factors like size, location …
COVID-19 detection in chest X-ray images using a new channel boosted CNN
COVID-19 is a respiratory illness that has affected a large population worldwide and
continues to have devastating consequences. It is imperative to detect COVID-19 at the …
continues to have devastating consequences. It is imperative to detect COVID-19 at the …
ChestX-Ray6: Prediction of multiple diseases including COVID-19 from chest X-ray images using convolutional neural network
In the last few decades, several epidemic diseases have been introduced. In some cases,
doctors and medical physicians are facing difficulties in identifying these diseases correctly …
doctors and medical physicians are facing difficulties in identifying these diseases correctly …
[HTML][HTML] COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs
In December 2019, the global pandemic COVID-19 in Wuhan, China, affected human life
and the worldwide economy. Therefore, an efficient diagnostic system is required to control …
and the worldwide economy. Therefore, an efficient diagnostic system is required to control …
Deep convolutional neural network and emotional learning based breast cancer detection using digital mammography
N Chouhan, A Khan, JZ Shah, M Hussnain… - Computers in Biology …, 2021 - Elsevier
Breast cancer is one of the deadly diseases among women. However, the chances of death
are highly reduced if it gets diagnosed and treated at its early stage. Mammography is one of …
are highly reduced if it gets diagnosed and treated at its early stage. Mammography is one of …
Brain tumor MRI classification using a novel deep residual and regional CNN
Brain tumor classification is essential for clinical diagnosis and treatment planning. Deep
learning models have shown great promise in this task, but they are often challenged by the …
learning models have shown great promise in this task, but they are often challenged by the …