Artificial intelligence and COVID-19 using chest CT scan and chest X-ray images: machine learning and deep learning approaches for diagnosis and treatment
Objective: To report an overview and update on Artificial Intelligence (AI) and COVID-19
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …
using chest Computed Tomography (CT) scan and chest X-ray images (CXR). Machine …
Chest x-ray in emergency radiology: What artificial intelligence applications are available?
G Irmici, M Cè, E Caloro, N Khenkina, G Della Pepa… - Diagnostics, 2023 - mdpi.com
Due to its widespread availability, low cost, feasibility at the patient's bedside and
accessibility even in low-resource settings, chest X-ray is one of the most requested …
accessibility even in low-resource settings, chest X-ray is one of the most requested …
COVID-19 detection from CT scans using a two-stage framework
Abstract Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause serious ailments in …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It may cause serious ailments in …
Tuberculosis chest X-ray detection using CNN-based hybrid segmentation and classification approach
Tuberculosis still significantly impacts the world's population, with more than 10 million
people getting sick each year. Researchers have focused on developing computer-aided …
people getting sick each year. Researchers have focused on developing computer-aided …
CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays
The rapid outbreak of COVID-19 has affected the lives and livelihoods of a large part of the
society. Hence, to confine the rapid spread of this virus, early detection of COVID-19 is …
society. Hence, to confine the rapid spread of this virus, early detection of COVID-19 is …
Prediction of COVID-19 from chest CT images using an ensemble of deep learning models
The novel SARS-CoV-2 virus, responsible for the dangerous pneumonia-type disease,
COVID-19, has undoubtedly changed the world by killing at least 3,900,000 people as of …
COVID-19, has undoubtedly changed the world by killing at least 3,900,000 people as of …
Screening of breast cancer from thermogram images by edge detection aided deep transfer learning model
Breast cancer, the most common invasive cancer, causes deaths of thousands of women in
the world every year. Early detection of the same is a remedy to lessen the death rate …
the world every year. Early detection of the same is a remedy to lessen the death rate …
An optimized fuzzy ensemble of convolutional neural networks for detecting tuberculosis from Chest X-ray images
Early detection of Tuberculosis or TB can help in mitigating the chances of affecting the other
body parts like the kidney, spine and brain, thereby reducing the death rate due to this …
body parts like the kidney, spine and brain, thereby reducing the death rate due to this …
Binary simulated normal distribution optimizer for feature selection: Theory and application in COVID-19 datasets
S Ahmed, KH Sheikh, S Mirjalili, R Sarkar - Expert Systems with …, 2022 - Elsevier
Classification accuracy achieved by a machine learning technique depends on the feature
set used in the learning process. However, it is often found that all the features extracted by …
set used in the learning process. However, it is often found that all the features extracted by …
An ensemble of deep transfer learning models for handwritten music symbol recognition
In ancient times, there was no system to record or document music. A basic notation system
to write European music was formulated around 14th century in the Baroque period which …
to write European music was formulated around 14th century in the Baroque period which …