Mostrando 4,381 - 4,400 Resultados de 47,755 Para Buscar '"Cheste"', tiempo de consulta: 0.45s Limitar resultados
  1. 4381
    “…A method for interpreting pediatric chest radiographs for research endpoints was recently updated by the World Health Organization (WHO) Chest Radiography in Epidemiological Studies project. …”
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  2. 4382
  3. 4383
  4. 4384
  5. 4385
    “…The application of deep learning for image classification of chest X-ray images of COVID-19 patients could become a useful pre-diagnostic detection methodology. …”
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  6. 4386
    “…Results show that only one-third of Lebanese chest physicians have good knowledge about the nature and multidisciplinary content of PR. …”
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  7. 4387
  8. 4388
  9. 4389
    “…BACKGROUND: The neonatal resuscitation program (NRP) recommends interrupted chest compressions (CC) with ventilation in the severely bradycardic neonate. …”
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  10. 4390
    “…CASE SUMMARY: A 12-year-old spayed female domestic shorthair cat presented for chest wall resection and radiation therapy following incomplete surgical excision of a feline injection site sarcoma. …”
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  11. 4391
  12. 4392
    “…BACKGROUND: Chest masculinization is aimed at aligning physical appearance of female-to-male (FtM) transgender patients to their identifying gender. …”
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  13. 4393
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  15. 4395
    “…Six readers with varying radiological experience (two each of chest radiologists, general radiologists, and radiologists in training) independently assigned a CO-RADS assessment category for each CT chest study. …”
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  16. 4396
    “…To reduce the intensity of physical labor on nurses or caregivers, a piggyback transfer robot has been developed by imitating the motion when a person holds another person on his/her back. As the chest holder supports most of the weight of the care-receiver during transfer, a human-robot dynamic model was built to analyze the influences of the motion of the chest holder on comfort. …”
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  17. 4397
    “…Timely evaluation of acute chest pain is necessary, although most evaluations will not find significant coronary disease. …”
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  18. 4398
  19. 4399
  20. 4400
    “…To improve diagnosis, this paper is aimed to design and establish a unique lightweight deep learning-based approach to perform multi-class classification (normal, COVID-19, and pneumonia) and binary class classification (normal and COVID-19) on X-ray radiographs of chest. This proposed CNN scheme includes the combination of three CBR blocks (convolutional batch normalization ReLu) with learnable parameters and one global average pooling (GP) layer and fully connected layer. …”
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