Case 14: COVID-19 Vaccination and Lung Nodulesdoi:10.1007/978-3-031-09737-9_14COVID vaccination effects don't affect PET evaluation of lung nodules.Wong, Ching Yee OliverSutter Health ImagingWu, DafangNorthern California PET Imaging Center...
C. et al. Management of lung nodules and lung cancer screening during the COVID-19 pandemic: CHEST expert panel report. Chest 158, 406–15 (2020). Chung, R. Y.-N., Dong, D. & Li, M. M. Socioeconomic gradient in health and the COVID-19 outbreak. BMJ 369, m1329 (2020). ...
On the other hand, what effects does COVID-19 disease have on previous lung diseases? After COVID-19 disease recovery time appears to be around 2 weeks for mild infection and 3–6 weeks for severe disease; however, this is variable and depends on a patient's pre-existing comorbidities in...
Deep learning-based quantitative features could be used for the segmentation of infection regions in lung CT slices and could also be employed for lung infection quantification [25], [26], [27] of COVID-19, large-scale screening [28], and severity assessment [29]. Multi-scale features are...
To precisely determine the severity of COVID-19-related pneumonia, computed tomography (CT) is an imaging modality beneficial for patient monitoring and therapy planning. Thus, we aimed to develop a deep learning-based image segmentation model to automatically assess lung lesions related to COVID-19...
, primarily to detect potentially cancerous lung nodules. the firm began work on its covid-19 detector early in the outbreak after noticing a sudden shift in how existing customers were using its lung scan reading software. in mid-january, not long after the us centers for disease control ...
we have now established a post-COVID-19 outpatient clinic where, at timed intervals, patient-reported outcome measures are collected and lung function as well as longitudinal CT scans are performed and analysed to more precisely assess the burden ...
COVID-19 and influenza infections have similar modes of transmission and clinical symptoms but have different prognoses and treatment methods; therefore, it is important to make a final diagnosis. Herein, we aimed to compare the demographic, clinical, and laboratory differences in hospitalized pediatric...
For each network architecture, we evaluate the separability among Covid-19, pneumonia and healthy chest X-ray images. All the proposed approaches are designed to distinguish Covid-19 not only from normal patients, but also to differentiate them from patients with lung conditions other than Covid...
In fighting against COVID-19, these approaches have also been widely applied to the lung and infection region segmentation [3], [4], [5], [6], as well as the clinical diagnosis and assessment [7], [8], [9], [10]. The review articles [11], [12] have made thorough investigations...