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  1. 4341
    “…Detection of idiopathic interstitial pneumonias (IIPs) on chest X-ray is difficult for non-specialist physicians, especially in patients with mild IIPs. …”
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    Simple method for detecting idiopathic interstitial pneumonias by measuring vertical lung length on chest X-ray
  2. 4342
    “…Method: Patients’ chest X-rays and lung ultrasounds were categorized as normal or pathologic. …”
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    Higher Accuracy of Lung Ultrasound over Chest X-ray for Early Diagnosis of COVID-19 Pneumonia
  3. 4343
    “…METHODS: A total of fifty-one female Landrace pigs were subjected to closed chest LAD balloon occlusion and evaluated in three substudies with varying protocols. …”
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    Experimental parameters and infarct size in closed chest pig LAD ischemia reperfusion models; lessons learned
  4. 4344
    “…BACKGROUND: Congenital pulmonary airway malformation (CPAM) with partial anomalous pulmonary venous connection presenting as episodic retrosternal chest pain on exertion in an adult has not been described. …”
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    An adult with episodic retrosternal chest pain: an unusual presentation of congenital pulmonary airway malformation – case report
  5. 4345
    “…So, because of this, it is difficult for the affected person or medical experts to identify the condition. Chest x-ray provides general orientation which can be an initial investigative study in the analysis of lung diseases. …”
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    Smart access development for classifying lung disease with chest x-ray images using deep learning
  6. 4346
    “…In the present work, a bi-modular hybrid model is proposed to detect COVID-19 from the chest CT images. In the first module, we have used a Convolutional Neural Network (CNN) architecture to extract features from the chest CT images. …”
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    A bi-stage feature selection approach for COVID-19 prediction using chest CT images
  7. 4347
    “…In this work we propose a segmentation framework to detect chest regions in CT images, which are infected by COVID-19. …”
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    Online Artículo Texto
    COVID TV-Unet: Segmenting COVID-19 chest CT images using connectivity imposed Unet
  8. 4348
    “…Artificial intelligence (AI) has played a significant role in image analysis and feature extraction, applied to detect and diagnose a wide range of chest-related diseases. Although several researchers have used current state-of-the-art approaches and have produced impressive chest-related clinical outcomes, specific techniques may not contribute many advantages if one type of disease is detected without the rest being identified. …”
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    AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays
  9. 4349
    “…Whole cardiac segmentation in chest CT images is important to identify functional abnormalities that occur in cardiovascular diseases, such as coronary artery disease (CAD) detection. …”
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    Semantic Cardiac Segmentation in Chest CT Images Using K-Means Clustering and the Mathematical Morphology Method
  10. 4350
    “…Earlier detection of the COVID-19 through accurate diagnosis, particularly for the cases with no obvious symptoms, may decrease the patient’s death rate. Chest X-ray images are primarily used for the diagnosis of this disease. …”
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    COVID-19 Detection from Chest X-ray Images Using Feature Fusion and Deep Learning
  11. 4351
    “…CONCLUSION: Quantification of pneumonia features on admitting chest CT predicted hypoxia worsening during hospitalization and time to hospital discharge in COVID-19 patients.…”
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    Quantitative assessment of lung involvement on chest CT at admission: Impact on hypoxia and outcome in COVID-19 patients
  12. 4352
    “…This has prompted researchers to use chest x-ray (CXR) and chest tomography (CT) scan images of subjects to predict COVID. …”
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    Bi-Level Prediction Model for Screening COVID-19 Patients Using Chest X-Ray Images
  13. 4353
    “…METHODS: Our retrospective multi-institutional study obtained 2446 chest CTs from 16 institutions (including 1161 COVID-19 patients). …”
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    Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort
  14. 4354
    “…CASE DESCRIPTION: We describe a case of hemorrhagic MS presenting as acute chest pain mimicking myocardial infarction, a presentation which has not yet been described in the literature. …”
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    Hemorrhagic spinal melanotic schwannoma presenting as acute chest pain: A case report and literature review
  15. 4355
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    Novel coronavirus (COVID-19) pneumonia: Portable chest X-ray or computed tomography? An Italian perspective
  16. 4356
    “…In this study, we introduce ai-corona, a radiologist-assistant deep learning framework for COVID-19 infection diagnosis using chest CT scans. Our framework incorporates an EfficientNetB3-based feature extractor. …”
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    ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans
  17. 4357
    por Agrawal, Tarun, Choudhary, Prakash
    Publicado 2021
    “…Medical imaging techniques such as Computed Tomography (CT), chest radiography can play an important role in the early screening and detection of COVID-19 cases. …”
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    FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images
  18. 4358
    por Saleh, Mahdi, Tan, Timothy C
    Publicado 2021
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    Dual-phase computed tomography imaging in acute chest pain: emerging protocols and potential future implications
  19. 4359
    “…OBJECTIVES: To investigate the chest CT and clinical characteristics of COVID-19 pneumonia and H1N1 influenza, and explore the radiologist diagnosis differences between COVID-19 and influenza. …”
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    Differentiation of Chest CT Findings Between Influenza Pneumonia and COVID-19: Interobserver Agreement Between Radiologists
  20. 4360
    “…INTRODUCTION: Necrotizing soft tissue infection (NSTI) of the chest wall is a rare, rapidly spreading, highly lethal surgical disease. …”
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    A case report of necrotizing soft tissue infection of the chest wall: Effective management with serial debridement
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