Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
Hundreds of millions of people worldwide have recently been infected by the novel
Coronavirus disease (COVID-19), causing significant damage to the health, economy, and …
Coronavirus disease (COVID-19), causing significant damage to the health, economy, and …
Detection and classification of COVID-19 by using faster R-CNN and mask R-CNN on CT images
Abstract The coronavirus (COVID-19) pandemic has a devastating impact on people's daily
lives and healthcare systems. The rapid spread of this virus should be stopped by early …
lives and healthcare systems. The rapid spread of this virus should be stopped by early …
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 …
Image processing and machine learning‐based bone fracture detection and classification using X‐ray images
ME Sahin - International Journal of Imaging Systems and …, 2023 - Wiley Online Library
One of the most important problems in orthopedics is undiagnosed or misdiagnosed bone
fractures. This can lead to patients receiving an incorrect diagnosis or treatment, which can …
fractures. This can lead to patients receiving an incorrect diagnosis or treatment, which can …
Design of efficient methods for the detection of tomato leaf disease utilizing proposed ensemble CNN model
H Ulutaş, V Aslantaş - Electronics, 2023 - mdpi.com
Early diagnosis of plant diseases is of vital importance since they cause social, ecological,
and economic losses. Therefore, it is highly complex and causes excessive workload and …
and economic losses. Therefore, it is highly complex and causes excessive workload and …
Auto-detection of the coronavirus disease by using deep convolutional neural networks and X-ray photographs
The most widely used method for detecting Coronavirus Disease 2019 (COVID-19) is real-
time polymerase chain reaction. However, this method has several drawbacks, including …
time polymerase chain reaction. However, this method has several drawbacks, including …
COVID-19 chest X-ray image classification in the presence of noisy labels
X Ying, H Liu, R Huang - Displays, 2023 - Elsevier
Abstract The Corona Virus Disease 2019 (COVID-19) has been declared a worldwide
pandemic, and a key method for diagnosing COVID-19 is chest X-ray imaging. The …
pandemic, and a key method for diagnosing COVID-19 is chest X-ray imaging. The …
Optimized Xception Learning Model and XgBoost Classifier for Detection of Multiclass Chest Disease from X-ray Images
Computed tomography (CT) scans, or radiographic images, were used to aid in the early
diagnosis of patients and detect normal and abnormal lung function in the human chest …
diagnosis of patients and detect normal and abnormal lung function in the human chest …
A novel fusion model of hand-crafted features with deep convolutional neural networks for classification of several chest diseases using X-ray images
With the continuing global pandemic of coronavirus (COVID-19) sickness, it is critical to seek
diagnostic approaches that are both effective and rapid to limit the number of people …
diagnostic approaches that are both effective and rapid to limit the number of people …
LWSE: a lightweight stacked ensemble model for accurate detection of multiple chest infectious diseases including COVID-19
Recently, the COVID-19 disease has significantly impacted global economies and
healthcare systems. Swift and accurate detection of COVID-19 is crucial for effectively …
healthcare systems. Swift and accurate detection of COVID-19 is crucial for effectively …