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  1. 3181
    “…For the best comparisons, only papers with the same data set Chest X-ray14 are studied.…”
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    A Review on Detection of Pneumonia in Chest X-ray Images Using Neural Networks
  2. 3182
    “…OBJECTIVES: The aim of this study was to evaluate the diagnostic accuracy of the chest X-ray (CXR) for screening the patients with PH-FM from those with pulmonary hypertension (PH). …”
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    Chest X-ray features facilitate screening for pulmonary hypertension caused by fibrosing mediastinitis
  3. 3183
    “…OBJECTIVES: To investigate the clinical utility of deep learning image reconstruction (DLIR) for improving image quality in low‐dose chest CT in comparison with 40% adaptive statistical iterative reconstruction‐Veo (ASiR‐V40%) algorithm. …”
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    Image quality improvement in low‐dose chest CT with deep learning image reconstruction
  4. 3184
    “…The aim of this study was to investigate the impact of FNC on portable chest imaging. An anthropomorphic chest phantom was imaged using a clinical chest program with 85 kV and five radiation dose levels at 40″ source‐to‐image distance with software‐based scatter reduction method. …”
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    Impact of flexible noise control (FNC) image processing parameters on portable chest radiography
  5. 3185
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    Chest examinations in children with real-time magnetic resonance imaging: first clinical experience
  6. 3186
    “…Automatic COVID-19 detection using chest X-ray (CXR) can play a vital part in large-scale screening and epidemic control. …”
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    Densely attention mechanism based network for COVID-19 detection in chest X-rays
  7. 3187
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    Erratum to “Validation and modification of HEART score components for patients with chest pain in the emergency department”
  8. 3188
    “…The CCD was measured on the upright chest radiograph and the Zanca view by 2 independent reviewers, and the percentage of the CCD difference compared with the unaffected side (ΔCCD) was calculated and compared between the upright chest radiograph and the Zanca view. …”
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    Reliability of Upright Chest Radiography as a Diagnostic Screening Tool for Acromioclavicular Joint Dislocations
  9. 3189
    “…Chest drainage is a commonly performed surgical procedure. …”
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    A case of inferior phrenic artery injury after chest drainage treated laparoscopically
  10. 3190
    “…OBJECTIVE: Pneumonia is a common pulmonary complication of flail chest, causing high morbidity and mortality rates in affected patients. …”
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    Predicting pneumonia during hospitalization in flail chest patients using machine learning approaches
  11. 3191
    “…Background: Chest X-ray is a practical tool to semi-qualify pulmonary congestion. …”
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    Correlation between Remote Dielectric Sensing and Chest X-Ray to Assess Pulmonary Congestion
  12. 3192
    “…We report the occurrence of ECG artifacts intra-operatively while performing chest liposuction under general anesthesia. Patients may receive unnecessary and potentially dangerous therapeutic interventions if these ECG artifacts are not identified correctly. …”
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    ECG Changes Occurring During Chest Liposuction for Gynecomastia – Artifacts or a Cause for Concern?
  13. 3193
    “…Chest X-Ray (CXR) images provide most anatomical details and the abnormalities on a 2D plane. …”
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    Localization of lung abnormalities on chest X-rays using self-supervised equivariant attention
  14. 3194
    “…BACKGROUND: Chest radiography is the standard investigation for identifying rib fractures. …”
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    Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study
  15. 3195
    “…This work proposes a novel omnidirectional 2.5D representation of volumetric chest CTs that allows exploring efficient 2D deep learning architectures while requiring volume-level annotations only. …”
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    Omnidirectional 2.5D representation for COVID-19 diagnosis using chest CTs()
  16. 3196
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    The Answer May Lie in Avoiding the Underwater Seal Rather Than the Chest Drainage Tube
  17. 3197
    por Niver, Harper E., Strom, Priscilla
    Publicado 2023
    “…This report focuses on the unique and clinically aggressive presentation and treatment of invasive solid-papillary carcinoma that was discovered along the axillary chest wall after an ipsilateral mastectomy for multifocal ductal carcinoma in situ.…”
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    Axillary chest wall solid-papillary carcinoma: A case report on presentation and management
  18. 3198
    “…IMPORTANCE: Artificial intelligence (AI) can interpret abnormal signs in chest radiography (CXR) and generate captions, but a prospective study is needed to examine its practical value. …”
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    Comparison of Chest Radiograph Captions Based on Natural Language Processing vs Completed by Radiologists
  19. 3199
    “…Non-Cardiac Chest Pain (NCCP) is persistent chest pain in the absence of identifiable cardiac pathology. …”
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    Non-Cardiac Chest Pain as a Persistent Physical Symptom: Psychological Distress and Workability
  20. 3200
    “…Given the effect this disease has on the pulmonary systems of humans, there is a need for chest radiographic imaging (CXR) for monitoring the disease and preventing further deaths. …”
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    COVID-19 Classification on Chest X-ray Images Using Deep Learning Methods
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