A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
[HTML][HTML] A review of deep learning in dentistry
Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …
[HTML][HTML] Early prediction of hypothyroidism and multiclass classification using predictive machine learning and deep learning
Thyroid disease is considered one of the most common health disorders, which may lead to
various health problems. Recent studies reveal that approximately 42 million people in India …
various health problems. Recent studies reveal that approximately 42 million people in India …
[HTML][HTML] A deep learning based convolutional neural network model with VGG16 feature extractor for the detection of Alzheimer Disease using MRI scans
Alzheimer's disease (AD) is one of the most prevalent types of dementia, which primarily
affects people over age 60. In clinical practice, it is a challenging task to identify AD in its …
affects people over age 60. In clinical practice, it is a challenging task to identify AD in its …
A deep learning model for early prediction of pneumonia using VGG19 and neural networks
Pneumonia is a disease that can be caused by bacteria, viruses, and fungi. According to
WHO, pneumonia is responsible for 22% of all deaths of children under the age of 1–5 years …
WHO, pneumonia is responsible for 22% of all deaths of children under the age of 1–5 years …
A comprehensive review on federated learning based models for healthcare applications
A disease is an abnormal condition that negatively impacts the functioning of the human
body. Pathology determines the causes behind the disease and identifies its development …
body. Pathology determines the causes behind the disease and identifies its development …
Melt electrowriting enabled 3D liquid crystal elastomer structures for cross-scale actuators and temperature field sensors
Liquid crystal elastomers (LCEs) have garnered attention for their remarkable reversible
strains under various stimuli. Early studies on LCEs mainly focused on basic dimensional …
strains under various stimuli. Early studies on LCEs mainly focused on basic dimensional …
Exploring the potential of vgg-16 architecture for accurate brain tumor detection using deep learning
P Gayathri, A Dhavileswarapu, S Ibrahim… - Journal of Computers …, 2023 - jcmm.co.in
This study explores the potential of the VGG-16 architecture, a Convolutional Neural
Network (CNN) model, for accurate brain tumor detection through deep learning. Utilizing a …
Network (CNN) model, for accurate brain tumor detection through deep learning. Utilizing a …
[HTML][HTML] Classification of Alzheimer's disease using MRI data based on Deep Learning Techniques
Alzheimer's Disease (AD) is a worldwide concern impacting millions of people, with no
effective treatment known to date. Unlike cancer, which has seen improvement in preventing …
effective treatment known to date. Unlike cancer, which has seen improvement in preventing …
Enhancing Mango Fruit Disease Severity Assessment with CNN and SVM-Based Classification
The mango leaf powdery mildew disease poses a serious threat to mango production
society globally by significantly lowering yield and quality. For timely intervention and …
society globally by significantly lowering yield and quality. For timely intervention and …