Computed Tomography Image Processing Analysis in COVID19 Patient Follow‐Up Assessment

S Tello-Mijares, L Woo - Journal of Healthcare Engineering, 2021 - Wiley Online Library
… PIs) on CT images from patients with COVID-19. The purpose … ) algorithm on CT images
with COVID-19 for pulmonary … identification on CT images with COVID-19 had a precision …

[HTML][HTML] Early diagnosis of COVID-19-affected patients based on X-ray and computed tomography images using deep learning algorithm

D Dansana, R Kumar, A Bhattacharjee, DJ Hemanth… - Soft computing, 2023 - Springer
… was to detect COVID-19 patients using X-ray images of chest and CT scan images collected
from different sources which include COVID-19 patients’ X-ray images, patients suffering …

Computed Tomography (CT) Imaging Features of Patients with COVID19: Systematic Review and Meta‐Analysis

E Awulachew, K Diriba, A Anja, E Getu… - Radiology Research …, 2020 - Wiley Online Library
… In this study, common CT imaging features in patients with COVID-19 pneumonia included
bilateral involvement, ground-glass opacities, consolidation, crazy paving pattern, air …

The role of imaging in the detection and management of COVID-19: a review

D Dong, Z Tang, S Wang, H Hui, L Gong… - IEEE reviews in …, 2020 - ieeexplore.ieee.org
… modalities are also used as complementary of chest CT in the diagnosis of COVID19, including
positron emission tomography - CT (PET/CT), lung ultrasound, and magnetic resonance …

Role of computed tomography in COVID-19

G Pontone, S Scafuri, ME Mancini, C Agalbato… - … computed tomography, 2021 - Elsevier
… line imaging modality to screen for COVID-19 pneumonia. Recommendations advised the use
of CT imaging in … Society identified three main scenarios where imaging may be used as a …

Chest computed tomography images of early coronavirus disease (COVID-19)

R Chen, J Chen, Q Meng - … Journal of Anesthesia/Journal canadien d' …, 2020 - Springer
… Severe acute respiratory syndrome-related coronavirus (SARS-CoV-2) has rapidly spread
… of coronavirus-related disease (COVID-19).The high infectivity and mortality of COVID-19

iCTCF: an integrative resource of chest computed tomography images and clinical features of patients with COVID-19 pneumonia

W Ning, S Lei, J Yang, Y Cao, P Jiang, Q Yang… - 2020 - researchsquare.com
… chest CT images, CFs and SARSCoV-2 laboratory testing results if available. Then, we
developed a patient-centric resource named integrative CT images and CFs for COVID-19 (iCTCF…

[PDF][PDF] Deep Learning Approach for COVID-19 Detection in Computed Tomography Images.

MM Al Rahhal, Y Bazi, RM Jomaa… - … , Materials & Continua, 2021 - researchgate.net
… features, which facilitates in obtaining COVID-19 findings in CT scan images. The proposed
… 2482 CT scan images from patients of both classes (ie, COVID-19 and non-COVID-19). To …

[HTML][HTML] Automated Lung Segmentation from Computed Tomography Images of Normal and COVID-19 Pneumonia Patients

F Gholamiankhah, S Mostafapour… - Iranian Journal of …, 2022 - ncbi.nlm.nih.gov
… Automated image segmentation is an essential step in quantitative image analysis. This study
… segmentation from computed tomography (CT) images of normal and COVID-19 patients. …

[Retracted] Automated System for Identifying COVID19 Infections in Computed Tomography Images Using Deep Learning Models

KH Abdulkareem, SA Mostafa… - Journal of …, 2022 - Wiley Online Library
… classification into normal or nonnormal COVID-19 cases is considered in this … COVID-19
comprise hundreds of CT images and fall short of the demand [18]. Several available COVID-19