Optimizing CNN‐LSTM hybrid classifier using HCA for biomedical image classification
In medical science, imaging is the most effective diagnostic and therapeutic tool. Almost all
modalities have transitioned to direct digital capture devices, which have emerged as a …
modalities have transitioned to direct digital capture devices, which have emerged as a …
Classification of COVID-19 patient based on multilayer perceptron neural networks optimized with garra rufa fish optimization using CT scan images
V Selvaraj, M Alagarsamy, D Thangaraju… - International Journal of …, 2023 - World Scientific
COVID-19 is known in recent times as a severe syndrome of respiratory organ (Lungs) and
has gradually produced pneumonia, a lung disorder all around the world. As coronavirus is …
has gradually produced pneumonia, a lung disorder all around the world. As coronavirus is …
[Retracted] Automated COVID‐19 Classification Using Heap‐Based Optimization with the Deep Transfer Learning Model
The outbreak of the COVID‐19 pandemic necessitates prompt identification of affected
persons to restrict the spread of the COVID‐19 epidemic. Radiological imaging such as …
persons to restrict the spread of the COVID‐19 epidemic. Radiological imaging such as …
RETRACTED: Intelligent diagnosis of Alzheimer's disease based on internet of things monitoring system and deep learning classification method
Y Zhou, Y Lu, Z Pei - 2021 - Elsevier
Nevertheless, food markets and agriculture are in front of disruptions because of labor lacks
outcomes from restrictions on activities of individuals and changes in food requests during …
outcomes from restrictions on activities of individuals and changes in food requests during …
Covid-19 diagnosis by WE-SAJ
W Wang, X Zhang, SH Wang… - Systems science & control …, 2022 - Taylor & Francis
With a global COVID-19 pandemic, the number of confirmed patients increases rapidly,
leaving the world with very few medical resources. Therefore, the fast diagnosis and …
leaving the world with very few medical resources. Therefore, the fast diagnosis and …
[HTML][HTML] Challenges, opportunities, and advances related to COVID-19 classification based on deep learning
A Agnihotri, N Kohli - Data Science and Management, 2023 - Elsevier
The novel coronavirus disease, or COVID-19, is a hazardous disease. It is endangering the
lives of many people living in more than two hundred countries. It directly affects the lungs. In …
lives of many people living in more than two hundred countries. It directly affects the lungs. In …
Comparison of CNN classification model using machine learning with bayesian optimizer
S Surono, MYF Afitian, A Setyawan… - HighTech and …, 2023 - hightechjournal.org
One of the best-known and frequently used areas of Deep Learning in image processing is
the Convolutional Neural Network (CNN), which has architectural designs such as …
the Convolutional Neural Network (CNN), which has architectural designs such as …
Alzheimer's disease classification using deep convolutional neural network
Alzheimer's Disease is the most common form of dementia which initially destroys the
memory and finally progresses to death. This irreversible disease is mostly found among …
memory and finally progresses to death. This irreversible disease is mostly found among …
A novel deep learning approach for classification of COVID-19 images
Novel coronavirus 2019 (COVID-2019) initially started at Wuhan, China and spread all over
the world and announced as pandemic by World Health Organization in March 2020. It …
the world and announced as pandemic by World Health Organization in March 2020. It …
Diagnosis and detection of Alzheimer's disease using learning algorithm
In Computer-Aided Detection (CAD) brain disease classification is a vital issue. Alzheimer's
Disease (AD) and brain tumors are the primary reasons of death. The studies of these …
Disease (AD) and brain tumors are the primary reasons of death. The studies of these …