Joint diagnosis of pneumonia, COVID-19, and tuberculosis from chest X-ray images: A deep learning approach
Pneumonia, COVID-19, and tuberculosis are some of the most fatal and common lung
diseases in the current era. Several approaches have been proposed in the literature for the …
diseases in the current era. Several approaches have been proposed in the literature for the …
Diabetic retinopathy detection from fundus images of the eye using hybrid deep learning features
MM Butt, DNFA Iskandar, SE Abdelhamid, G Latif… - Diagnostics, 2022 - mdpi.com
Diabetic Retinopathy (DR) is a medical condition present in patients suffering from long-term
diabetes. If a diagnosis is not carried out at an early stage, it can lead to vision impairment …
diabetes. If a diagnosis is not carried out at an early stage, it can lead to vision impairment …
COVID-19 detection on chest X-ray images using Homomorphic Transformation and VGG inspired deep convolutional neural network
COVID-19 had caused the whole world to come to a standstill. The current detection
methods are time consuming as well as costly. Using Chest X-rays (CXRs) is a solution to …
methods are time consuming as well as costly. Using Chest X-rays (CXRs) is a solution to …
[HTML][HTML] Applications of deep learning in disease diagnosis of chest radiographs: A survey on materials and methods
Recent advances in deep learning have given rise to high performance in image analysis
operations in healthcare. Lung diseases are of particular interest, as most can be identified …
operations in healthcare. Lung diseases are of particular interest, as most can be identified …
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
Abstract COVID-19 (SARS-CoV-2), which causes acute respiratory syndrome, is a
contagious and deadly disease that has devastating effects on society and human life …
contagious and deadly disease that has devastating effects on society and human life …
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
Abstract The novel coronavirus (COVID-19), has undoubtedly imprinted our lives with its
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
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 …
Knee osteoarthritis detection and severity classification using residual neural networks on preprocessed x-ray images
One of the most common and challenging medical conditions to deal with in old-aged
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …
people is the occurrence of knee osteoarthritis (KOA). Manual diagnosis of this disease …
Novel coronavirus and common pneumonia detection from CT scans using deep learning-based extracted features
COVID-19 which was announced as a pandemic on 11 March 2020, is still infecting millions
to date as the vaccines that have been developed do not prevent the disease but rather …
to date as the vaccines that have been developed do not prevent the disease but rather …
Arabic hate speech detection using deep recurrent neural networks
FYA Anezi - Applied Sciences, 2022 - mdpi.com
With the vast number of comments posted daily on social media and other platforms,
manually monitoring internet activity for possible national security risks or cyberbullying is an …
manually monitoring internet activity for possible national security risks or cyberbullying is an …