Mostrando 3,161 - 3,180 Resultados de 47,755 Para Buscar '"Cheste"', tiempo de consulta: 0.24s Limitar resultados
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  3. 3163
    “…The present study aimed to compare thoracic ultrasonography with chest X-ray for detecting and clinical relevance of pneumothorax, pleural effusion, and lung consolidation and determine whether ultrasonography could replace chest X-ray as the standard examination after surgery. …”
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  4. 3164
    “…It is important to consider this as a differential diagnosis of exertional chest pains. We report the case of a 9-year-old boy who attended our institution for non-specific but frequent symptoms and was diagnosed with congenital complete absence of the pericardium. …”
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  5. 3165
    “…This study proposes a technique for the automatic detection of COVID-19 and other chest-related diseases using digital chest X-ray images of suspected patients by applying transfer learning (TL) algorithms. …”
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  6. 3166
    “…In this work, we propose a data collecting and annotation pipeline that extracts information from Vietnamese radiology reports to provide accurate labels for chest X-ray (CXR) images. This can benefit Vietnamese radiologists and clinicians by annotating data that closely match their endemic diagnosis categories which may vary from country to country. …”
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  8. 3168
    “…Introduction Internal medicine admission services often request a baseline admission chest X-ray (CXR) for patients already admitted to the emergency department (ED) and who are waiting for inpatient beds, despite rarely providing clinical value. …”
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  9. 3169
    por Bassi, Pedro R. A. S., Attux, Romis
    Publicado 2022
    “…PURPOSE: We evaluated the generalization capability of deep neural networks (DNNs) in the task of classifying chest X-rays as Covid-19, normal or pneumonia, when trained in a relatively small and mixed datasets. …”
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  10. 3170
    por Nalluri, Sravani, Sasikala, R.
    Publicado 2022
    “…This paper presents a deep learning model, NASNet (Neural Architecture Search Network), pre-trained on ImageNet to predict pneumonia very early stage through chest x-rays of patients. With 2.6 million trainable parameters, the proposed model can run even on a mobile phone with good precision, recall, and an F1 score to detect pneumonia. …”
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  12. 3172
    “…Herein, we evaluate the frequency of the chest CT-scan appearances of COVID-19 according to each RSNA categorical group. …”
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  13. 3173
    “…BACKGROUND: Several studies have justified use of chest computed tomography (CT) in diagnosis, evaluation of severity, treatment response, and complications of coronavirus disease 2019 (COVID-19) pneumonia. …”
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  16. 3176
    “…BACKGROUND AND PURPOSE: Resection of radiation-induced ulcers often causes full-thickness defects of the chest wall. We retrospectively reviewed and evaluated 17 patients to explore a method of chest wall reconstruction. …”
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  17. 3177
    “…We evaluated the relationship between fetal growth in preterm babies using the head circumference (HC)/chest circumference (CC) ratio and other anthropometric parameters at birth and at school age. …”
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  18. 3178
    “…BACKGROUND AND AIMS: Chest X-ray (CXR) is indispensable to the assessment of severity, diagnosis, and management of pneumonia. …”
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  19. 3179
    Publicado 2022
    “…PURPOSE: To develop and validate a deep learning-based screening tool for the early diagnosis of scoliosis using chest radiographs with a semi-supervised generative adversarial network (GAN). …”
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