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  1. 3801
    “…If the patient is infected with COVID-19, a chest X-ray can be used to determine this. In this work, an X-ray showing a COVID-19 infection is classified by the capsule neural network model we trained to recognise. 6310 chest X-ray pictures were used to train the models, separated into three categories: normal, pneumonia, and COVID-19. …”
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    Online Artículo Texto
    Multiclass Classification of Chest X-Ray Images for the Prediction of COVID-19 Using Capsule Network
  2. 3802
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    Online Artículo Texto
    Chest Pain and Suspected Myocarditis Related to COVID-19 Vaccination in Adolescents—A Case Series
  3. 3803
    “…A database of 231 sarcoidosis-infected, 563 TB-infected, and 1010 normal chest X-ray images was created using public databases and information from several national hospitals. …”
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    Reliable Sarcoidosis Detection Using Chest X-rays with EfficientNets and Stain-Normalization Techniques
  4. 3804
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    Online Artículo Texto
    Chronic thromboembolic pulmonary hypertension after acute pulmonary thromboembolism revealed by dynamic chest radiography
  5. 3805
    “…BACKGROUND: The possible influence of chest wall conformation on cardiovascular (CV) outcome of patients with mitral regurgitation (MR) due to mitral valve prolapse (MVP) has never been previously investigated. …”
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    Online Artículo Texto
    Impact of Chest Wall Conformation on the Outcome of Primary Mitral Regurgitation due to Mitral Valve Prolapse
  6. 3806
    “…Trunk acceleration and HR were measured using the "hitoe" system, a smart clothing system with embedded chest sensors. Expiratory gas analysis was performed to measure oxygen consumption. …”
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    Validity of trunk acceleration measurement with a chest-worn monitor for assessment of physical activity intensity
  7. 3807
    “…INTRODUCTION: Cardiac masses are a rare cause of chest pain. They can often be missed on a chest radiograph performed to evaluate non-specific chest pain and are not readily evaluated with traditional laboratory testing. …”
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    Online Artículo Texto
    A Rare Cause of Chest Pain Identified on Point-of-care Echocardiography: A Case Report
  8. 3808
    “…We describe the use of chest wall perforator flap (CWPF) to reconstruct the central mound of breast tissue in women presenting with central/retro areolar breast cancer. …”
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    Chest wall perforator flap to partially reconstruct central mound of breast tissue – evolution of the technique
  9. 3809
    “…Deep learning has shown recent success in classifying anomalies in chest x-rays, but datasets are still small compared to natural image datasets. …”
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    REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays
  10. 3810
    por Liu, Jia, Qi, Jing, Chen, Wei, Nian, Yongjian
    Publicado 2022
    “…To achieve this goal, we proposed a multi-branch fusion auxiliary learning (MBFAL) method for pneumonia detection from chest X-ray (CXR) images. The MBFAL method was used to perform two tasks through a double-branch network. …”
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    Online Artículo Texto
    Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images()
  11. 3811
    “…Computed Tomography (CT) is a fast and efficient tool which can quickly provide chest scan results. To reduce the burden on doctors of reading CTs, in this article, a high precision diagnosis algorithm of COVID-19 from chest CTs is designed for intelligent diagnosis. …”
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    A semi-supervised learning approach for COVID-19 detection from chest CT scans
  12. 3812
    “…Semantic segmentation for diagnosing chest-related diseases like cardiomegaly, emphysema, pleural effusions, and pneumothorax is a critical yet understudied tool for identifying the chest anatomy. …”
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    CardioNet: Automatic Semantic Segmentation to Calculate the Cardiothoracic Ratio for Cardiomegaly and Other Chest Diseases
  13. 3813
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    The prognostic value of biomarker levels and chest imaging in patients with COVID-19 presenting to the emergency department
  14. 3814
    “…This study analyzed the performance of studies that employed machines and DL on chest X-ray pictures and CT scans for COVID-19 diagnosis. …”
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    Online Artículo Texto
    Artificial intelligence and IoT based prediction of Covid-19 using chest X-ray images
  15. 3815
    “…We investigated sex and racial differences in the evaluation of chest pain (CP) among young adults presenting to the emergency department. …”
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    Sex and Race Differences in the Evaluation and Treatment of Young Adults Presenting to the Emergency Department With Chest Pain
  16. 3816
    “…OBJECTIVE: We evaluated the usefulness of a deep learning (DL) approach based on a chest X-ray (CXR) to predict EIPH in 6-min walk stress echocardiography. …”
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    Deep Learning for Detection of Exercise-Induced Pulmonary Hypertension Using Chest X-Ray Images
  17. 3817
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    VCNet: Hybrid Deep Learning Model for Detection and Classification of Lung Carcinoma Using Chest Radiographs
  18. 3818
    por Park, Donghwi, Chang, Min Cheol
    Publicado 2022
    “…Ultrasound-guided injection is useful for managing thoracic spine and chest wall pain. With ultrasound, pain physicians perform the injection with real-time viewing of major structures, such as the pleura, vasculature, and nerves. …”
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    Ultrasound-guided interventions for controlling the thoracic spine and chest wall pain: a narrative review
  19. 3819
    “…METHODS: We conducted a cross-sectional analysis to investigate the association between the serum gasdermin D (GSDMD) levels, a pyroptotic marker, and caspase-cleaved cytokeratin 18 fragment (M30), an apoptotic marker, and the clinical status and abnormal chest computed tomography (CT) findings in patients with COVID-19. …”
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    Serum gasdermin D levels are associated with the chest computed tomography findings and severity of COVID-19
  20. 3820
    “…Ranunculales, comprising of 7 families that are rich in medicinal species frequently utilized by traditional medicine and ethnomedicine, represents a treasure chest of biodiversity and chemodiversity. The phylogenetically related species often have similar chemical profile, which makes them often possess similar therapeutic spectrum. …”
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    Mining Therapeutic Efficacy from Treasure Chest of Biodiversity and Chemodiversity: Pharmacophylogeny of Ranunculales Medicinal Plants
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