Results 11 to 20 of about 6,806,803 (376)

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images. [PDF]

open access: yesRadiology: Artificial Intelligence, 2022
Purpose To present a deep learning segmentation model that can automatically and robustly segment all major anatomic structures on body CT images. Materials and Methods In this retrospective study, 1204 CT examinations (from 2012, 2016, and 2020) were ...
J. Wasserthal   +11 more
semanticscholar   +1 more source

Qualitative and quantitative assessment of the effect of respiratory movement on right lung tumors in PET/CT images [PDF]

open access: yesمجله علوم و فنون هسته‌ای, 2020
For specific clinical diagnoses, positron emission tomography (PET) can detect more sites of disease than conventional anatomical imaging such as x-ray computed tomography (CT) or magnetic resonance imaging (MRI).
F. Gholami   +4 more
doaj   +1 more source

Time Course of Lung Changes On Chest CT During Recovery From 2019 Novel Coronavirus (COVID-19) Pneumonia

open access: yesRadiology, 2020
Background Chest CT is used to assess the severity of lung involvement in COVID-19 pneumonia. Purpose To determine the change in chest CT findings associated with COVID-19 pneumonia from initial diagnosis until patient recovery.
F. Pan   +10 more
semanticscholar   +2 more sources

Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

open access: yesRadiology, 2020
Background Chest CT is used for diagnosis of 2019 novel coronavirus disease (COVID-19), as an important complement to the reverse-transcription polymerase chain reaction (RT-PCR) tests. Purpose To investigate the diagnostic value and consistency of chest
T. Ai   +8 more
semanticscholar   +1 more source

Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR

open access: yesRadiology, 2020
In a series of 51 patients with chest CT and real-time polymerase chain reaction assay (RT-PCR) performed within 3 days, the sensitivity of CT for 2019 novel coronavirus infection was 98% and that ...
Yicheng Fang   +6 more
semanticscholar   +1 more source

Visual and automatic evaluation of the volume of lung damage on computer tomography with pneumonia caused by COVID-19

open access: yesВестник медицинского института «Реавиз»: Реабилитация, врач и здоровье, 2021
The paper assessed various signs of lung tissue damage and the extent of its damage using automatic and empirical methods on CT of the chest organs in pneumonia caused by COVID-19. We analyzed 198 CT scans of the chest of patients with confirmed COVID-19
P. M. Zelter   +3 more
doaj   +1 more source

Possibilities of instrumental diagnostic methods for visualizing the pubic periosteum in the femoral canal

open access: yesВестник медицинского института «Реавиз»: Реабилитация, врач и здоровье, 2021
Performing classical methods of plasty in patients with femoral hernia is possible if Cooper's ligament – the pubic periosteum – is preserved. Patients with a long history of femoral hernia develop thinning and atrophy of the pubic periosteum. The aim of
V. I. Belokonev   +4 more
doaj   +1 more source

Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection

open access: yesRadiology, 2020
In this retrospective study, chest CTs of 121 symptomatic patients infected with coronavirus disease-19 (COVID-19) from four centers in China from January 18, 2020 to February 2, 2020 were reviewed for common CT findings in relationship to the time ...
Adam Bernheim   +13 more
semanticscholar   +1 more source

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images [PDF]

open access: yesIEEE Transactions on Medical Imaging, 2020
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomography (CT) images offers a great potential to augment the traditional ...
Deng-Ping Fan   +7 more
semanticscholar   +1 more source

Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial.

open access: yesNew England Journal of Medicine, 2020
BACKGROUND There are limited data from randomized trials regarding whether volume-based, low-dose computed tomographic (CT) screening can reduce lung-cancer mortality among male former and current smokers.
H. D. de Koning   +23 more
semanticscholar   +1 more source

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