VGG19 network assisted joint segmentation and classification of lung nodules in CT images
Pulmonary nodule is one of the lung diseases and its early diagnosis and treatment are
essential to cure the patient. This paper introduces a deep learning framework to support the …
essential to cure the patient. This paper introduces a deep learning framework to support the …
COVID-19 case recognition from chest CT images by deep learning, entropy-controlled firefly optimization, and parallel feature fusion
In healthcare, a multitude of data is collected from medical sensors and devices, such as X-
ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that …
ray machines, magnetic resonance imaging, computed tomography (CT), and so on, that …
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
A Heidari, S Toumaj, NJ Navimipour, M Unal - Computers in Biology and …, 2022 - Elsevier
With the global spread of the COVID-19 epidemic, a reliable method is required for
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …
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 …
A multi-agent deep reinforcement learning approach for enhancement of COVID-19 CT image segmentation
Currently, most mask extraction techniques are based on convolutional neural networks
(CNNs). However, there are still numerous problems that mask extraction techniques need …
(CNNs). However, there are still numerous problems that mask extraction techniques need …
An ensemble learning model for COVID-19 detection from blood test samples
OO Abayomi-Alli, R Damaševičius, R Maskeliūnas… - Sensors, 2022 - mdpi.com
Current research endeavors in the application of artificial intelligence (AI) methods in the
diagnosis of the COVID-19 disease has proven indispensable with very promising results …
diagnosis of the COVID-19 disease has proven indispensable with very promising results …
A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images
O Attallah - Digital Health, 2022 - journals.sagepub.com
The accurate and rapid detection of the novel coronavirus infection, coronavirus is very
important to prevent the fast spread of such disease. Thus, reducing negative effects that …
important to prevent the fast spread of such disease. Thus, reducing negative effects that …
[PDF][PDF] A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data
Breast cancer is one of the leading causes of death in women worldwide—the rapid
increase in breast cancer has brought about more accessible diagnosis resources. The …
increase in breast cancer has brought about more accessible diagnosis resources. The …
CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis
AV Ikechukwu, S Murali - Machine Learning: Science and …, 2023 - iopscience.iop.org
Automatic identification of salient features in large medical datasets, particularly in chest x-
ray (CXR) images, is a crucial research area. Accurately detecting critical findings such as …
ray (CXR) images, is a crucial research area. Accurately detecting critical findings such as …
AdaD-FNN for chest CT-based COVID-19 diagnosis
Coronavirus disease 2019 (COVID-19) generated a global public health emergency since
December 2019, causing huge economic losses. To help radiologists strengthen their …
December 2019, causing huge economic losses. To help radiologists strengthen their …