RADIC: A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics
O Attallah - Chemometrics and Intelligent Laboratory Systems, 2023 - Elsevier
Deep learning (DL) algorithms have demonstrated a high ability to perform speedy and
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …
accurate COVID-19 diagnosis utilizing computed tomography (CT) and X-Ray scans. The …
Hair and scalp disease detection using machine learning and image processing
M Roy, AT Protity - arXiv preprint arXiv:2301.00122, 2022 - arxiv.org
Almost 80 million Americans suffer from hair loss due to aging, stress, medication, or genetic
makeup. Hair and scalp-related diseases often go unnoticed in the beginning. Sometimes, a …
makeup. Hair and scalp-related diseases often go unnoticed in the beginning. Sometimes, a …
Automated classification of brain diseases using the Restricted Boltzmann Machine and the Generative Adversarial Network
Background: Early diagnosis of brain diseases is very important. Brain disease classification
is a common and complex topic in biomedical engineering. Therefore, machine learning …
is a common and complex topic in biomedical engineering. Therefore, machine learning …
[HTML][HTML] Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography
Background Chest computed tomography (CT) has a high sensitivity for detecting COVID-19
lung involvement and is widely used for diagnosis and disease monitoring. We proposed a …
lung involvement and is widely used for diagnosis and disease monitoring. We proposed a …
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 …
Review on chest pathogies detection systems using deep learning techniques
Chest radiography is the standard and most affordable way to diagnose, analyze, and
examine different thoracic and chest diseases. Typically, the radiograph is examined by an …
examine different thoracic and chest diseases. Typically, the radiograph is examined by an …
A hybridized feature extraction for COVID-19 multi-class classification on computed tomography images
COVID-19 has killed more than 5 million individuals worldwide within a short time. It is
caused by SARS-CoV-2 which continuously mutates and produces more transmissible new …
caused by SARS-CoV-2 which continuously mutates and produces more transmissible new …
Glaucoma diagnosis from fundus images using modified Gauss-Kuzmin-distribution-based Gabor features in 2D-FAWT
Purpose Glaucoma is an eye disease that can result in perpetual eye vision loss if not
perceived and treated in time. Therefore, an accurate and efficient automated method has …
perceived and treated in time. Therefore, an accurate and efficient automated method has …
Combating the COVID-19 infodemic using Prompt-Based curriculum learning
The COVID-19 pandemic has been accompanied by a proliferation of online misinformation
and disinformation about the virus. Combating this 'infodemic'has been identified as one of …
and disinformation about the virus. Combating this 'infodemic'has been identified as one of …
A Comprehensive Review on COVID-19 detection based on Cough Sounds, Symptoms, CXR and CT Images
The worldwide spread of the coronavirus illness has led to the requirement of creating
machine-based technologies to identify the diseases. The worldwide pandemic caused by …
machine-based technologies to identify the diseases. The worldwide pandemic caused by …