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  1. 3921
    “…BACKGROUND: Chest wall sinus with infection is a refractory disease caused by a variety of susceptible factors, and the treatment is still challenging. …”
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    Online Artículo Texto
    Autologous myocutaneous flap implantation for chronic refractory chest wall sinus with infection: a case report
  2. 3922
    “…BACKGROUND: Accurate interpretation of chest radiographs requires years of medical training, and many countries face a shortage of medical professionals to meet such requirements. …”
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    Online Artículo Texto
    Evaluating diagnostic content of AI-generated chest radiography: A multi-center visual Turing test
  3. 3923
    “…The proposed model is trained on ChestX-Ray14, which is a publicly accessible chest X-ray dataset. …”
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    A convolutional attention mapping deep neural network for classification and localization of cardiomegaly on chest X-rays
  4. 3924
    por Schwartz, Jean-Claude D.
    Publicado 2023
    “…Smaller, nonptotic breasts require VR strategies from flaps based off of local chest wall perforators. When larger volumes are required, a flap based off the thoracodorsal artery can be used. …”
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    Combining a Chest Wall Perforator Flap and Bioabsorbable Implant to Facilitate Oncoplastic Breast-conserving Surgery
  5. 3925
    “…Computer-aided diagnosis systems in adult chest radiography (CXR) have recently achieved great success thanks to the availability of large-scale, annotated datasets and the advent of high-performance supervised learning algorithms. …”
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    Online Artículo Texto
    PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children
  6. 3926
    “…Chest X-rays (CXRs) are essential in the preliminary radiographic assessment of patients affected by COVID-19. …”
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    Deep Neural Network Augments Performance of Junior Residents in Diagnosing COVID-19 Pneumonia on Chest Radiographs
  7. 3927
    “…Chest computed tomography (CT) plays a vital role in the early diagnosis, treatment, and follow-up of COVID-19 pneumonia during the pandemic. …”
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    Low-Dose Chest CT Protocols for Imaging COVID-19 Pneumonia: Technique Parameters and Radiation Dose
  8. 3928
    “…Several western countries have experienced a drastic increase of referrals to specialist gender services of transgender and gender-diverse people. Chest wall contouring is an important element in treatment of gender dysphoria. …”
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    Chest Wall Contouring in Transgender Men: A 20-Year Experience from a National Center
  9. 3929
    “…AIMS: We tested the hypothesis that epicardial adipose tissue (EAT) quantification improves the prediction of the presence of obstructive coronary artery disease (CAD) in patients presenting with acute chest pain to the emergency department. METHODS AND RESULTS: Within this prospective observational cohort study, we included 657 consecutive patients (mean age 58.06 ± 18.04 years, 53% male) presenting to the emergency department with acute chest pain suggestive of acute coronary syndrome between December 2018 and August 2020. …”
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    Epicardial adipose tissue and obstructive coronary artery disease in acute chest pain: the EPIC-ACS study
  10. 3930
    “…Extensive chest wall tumor resection and reconstruction possess a formidable challenge and require good collaboration between thoracic and reconstructive surgeons. …”
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    Online Artículo Texto
    Challenges in Complex Oncological Chest Wall Reconstruction with Free Anterolateral Thigh Flap and Titanium Rib Plate
  11. 3931
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    Direct versus Video Laryngoscopy during Simulated Mechanical Chest Compressions: A Randomized Crossover Trial
  12. 3932
    por Abdel-Hamid, Lamiaa
    Publicado 2023
    “…Chest computer tomography (CT) provides a readily available and efficient tool for COVID-19 diagnosis. …”
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    Multiresolution analysis for COVID-19 diagnosis from chest CT images: wavelet vs. contourlet transforms
  13. 3933
    “…This study investigated the rate at which radiologists miss or detect incidental breast cancers on chest CT and to compare the CT features between the two groups. …”
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    Missed and Detected Incidental Breast Cancers on Contrast Enhanced Chest CT: Detection Rates and CT Features
  14. 3934
    “…In this research, a convolution neural network architecture is proposed for lung segmentation using chest X-ray images. In the proposed model, concatenate block is embedded to learn a series of filters or features used to extract meaningful information from the image. …”
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    A Convolutional Neural Network Architecture for Segmentation of Lung Diseases Using Chest X-ray Images
  15. 3935
    “…BACKGROUND: Splenic injury due to chest compressions is a rare and fatal complication that occurs immediately after cardiopulmonary resuscitation. …”
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    Delayed massive bleeding from minor splenic injury due to mechanical chest compression for cardiopulmonary resuscitation
  16. 3936
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    Sudden Chest Pain Due to Esophageal Intramural Dissection: First Manifestation of Eosinophilic Esophagitis in a Teenager
  17. 3937
    “…Tube thoracostomy and chest wall debridement was done for empyema necessitans with chest wall necrotizing fasciitis. …”
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    Necrotizing fasciitis of the chest wall caused by empyema necessitans following tuberculosis: Case report and literature review
  18. 3938
    “…Our model shows good AUROC under screening chest radiographs in both the internal and external datasets. …”
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    Screening of adolescent idiopathic scoliosis using generative adversarial network (GAN) inversion method in chest radiographs
  19. 3939
    “…Convolutional neural networks (CNNs) have shown promise in accurately diagnosing coronavirus disease 2019 (COVID-19) and bacterial pneumonia using chest X-ray images. However, determining the optimal feature extraction approach is challenging. …”
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    Fusion-Extracted Features by Deep Networks for Improved COVID-19 Classification with Chest X-ray Radiography
  20. 3940
    “…In chest computed tomography (CT), the breasts located within the scan range receive a substantial radiation dose. …”
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    Prediction of breast dose in chest CT examinations using adaptive neuro-fuzzy inference system (ANFIS)
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