Results 1 to 10 of about 1,884,621 (299)

Chest CT Diagnosis of COVID-19: Accuracy using CO-RADS and CTInvolvement Scoring

open access: yesJournal of the Belgian Society of Radiology, 2021
Objectives: Both Reporting and Data System (CO-RADS) and CT-involvement scores (CTIS) have been proposed for evaluation of COVID-19 on chest CT. The purpose of this single-center, retrospective study was to evaluate both scoring systems to diagnose COVID-
Brecht Van Berkel   +8 more
doaj   +1 more source

Principles and Available Hardware in DECT

open access: yesJournal of Gastrointestinal and Abdominal Radiology, 2022
Computed tomography (CT) has undergone a phenomenal evolution since its introduction in 1971 and has revolutionized diagnostic radiology. It is now the cornerstone of diagnostic imaging and has become an inevitable part of the management of patients ...
Ezhilmathi Alavandar   +6 more
doaj   +1 more source

Multi-scale attention and deep supervision-based 3D UNet for automatic liver segmentation from CT

open access: yesMathematical Biosciences and Engineering, 2023
Background: Automatic liver segmentation is a prerequisite for hepatoma treatment; however, the low accuracy and stability hinder its clinical application.
Jinke Wang   +4 more
doaj   +1 more source

2 Samuel 12 as retold by Josephus

open access: yesVerbum et Ecclesia, 2006
In this essay the author intends to focus on Josephus' retelling of the events of 2 Samuel 12. At the opening of his Antiquities, Josephus assures readers that in what follows he will not add to or omit anything from the Scripture records on which he
CT Begg
doaj   +1 more source

Subsolid Nodule Harbouring Extranodal Marginal Zone Lymphoma of Mucosa-Associated Lymphoid Tissue

open access: yesJournal of the Belgian Society of Radiology, 2022
With the widespread use of computed tomography (CT), subsolid nodules are more frequently encountered in daily practice. We present the case of a 74-year-old man with a large persistent well-defined subsolid nodule on CT.
Stijn Marcelis   +2 more
doaj   +1 more source

Cost-Effectiveness of Positron Emission Tomography in Recurrent Colorectal Cancer in Canada

open access: yesMcGill Journal of Medicine, 2004
Several studies over the past decade have demonstrated that 2-fluoro-2-D-[18F] fluorodeoxyglucose (FDG) positron emission tomography (PET) is more accurate than computed tomography (CT) for the staging of recurrent colorectal carcinoma.
Jeffrey Sloka   +2 more
doaj   +1 more source

Azygos lobe

open access: yesPAMJ Clinical Medicine, 2020
We report the case of a 25-year-old male who consult for a chronic dry cough without fever or medical history, in front of that we perform a chest X-ray completed by a chest-CT who shows a thin curvilinear density seen in the upper right lung, convex ...
Asaad El Bakkari, Ouadie El Menaoui
doaj   +1 more source

COVID 19: Radiological methods and characteristics of radiological findings [PDF]

open access: yesSerbian Journal of Anesthesia and Intensive Therapy, 2020
COVID - 19 is a 21st-century pandemic. Coronavirus 2 (SARS-CoV-2) causes coronavirus disease - COVID-19 (Corona Virus Disease-19), zoonose. The virus was previously known as the 2019 novel coronavirus.
Stojadinović Milica   +3 more
doaj  

Prevalence of Incidental Gynecomastia by Chest Computed Tomography in Patients with a Prediagnosis of COVID-19 Pneumonia

open access: yesEuropean Journal of Breast Health, 2021
Objective:In this study, we aimed to determine the prevalence of gynecomastia by evaluating computed tomography (CT) images of male patients who were admitted to our hospital during the coronavirus disease-2019 (COVID-19) pandemic.Materials and Methods ...
Özge Aslan   +5 more
doaj   +1 more source

VoxelMorph++: a convolutional neural network architecture for unsupervised CBCT to CT deformable image registration [PDF]

open access: yesITM Web of Conferences, 2022
We use an unsupervised method based on the VoxelMorph architecture for Cone-beam computed tomography (CBCT) to CT deformable image registration (DIR), and propose VoxelMorph++, a new architecture for predicting the deformation vector field (DVF).
Liu Dingqian, Liu Jiwei
doaj   +1 more source

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