Materias dentro de su búsqueda.
Mostrando 4,961 - 4,980 Resultados de 47,755 Para Buscar '"Cheste"', tiempo de consulta: 0.30s Limitar resultados
  1. 4961
    “…Only studies which described chest CT findings of COVID-19 in pregnant patients were included for analysis. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    COVID-19 in pregnancy: a systematic review of chest CT findings and associated clinical features in 427 patients
  2. 4962
    “…However, there are no reports on concurrent masses of chest wall soft tissue and breast as the primary symptoms for MM. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A Rare Case of Extramedullary Multiple Myeloma Presenting as Masses on the Breast and Chest Wall Complicated with Sjogren’s Syndrome
  3. 4963
    “…While efforts are being made to make early diagnosis accessible and more reliable in high burden TB countries, digital chest radiography has become a popular source for this purpose. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Ensemble learning based automatic detection of tuberculosis in chest X-ray images using hybrid feature descriptors
  4. 4964
    “…Many diving courses require chest X-rays (CXR) or high-resolution computed tomography (HRCT) to exclude asymptomatic healthy individuals with these lesions. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Routine Chest X-Rays Are Inaccurate in Detecting Relevant Intrapulmonary Anomalies During Medical Assessments of Fitness to Dive
  5. 4965
    “…In the proposed method, the chest X-ray images are used to separate 2–4 classes in 7 different and functional scenarios according to healthy, viral, bacterial, and COVID-19 classes. …”
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images
  6. 4966
    “…Pneumoperitoneum is typically detected as subphrenic free air on frontal chest X-ray images; however, treatment is reliant on accurate interpretation of radiographs in a timely manner. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A Deep Learning Method for Alerting Emergency Physicians about the Presence of Subphrenic Free Air on Chest Radiographs
  7. 4967
    “…Three cats experienced minor complications during the chest tube insertion, including self-limiting pneumothorax (1/3) and malpositioning (2/3). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    The use of small-bore wire-guided chest drains for the management of feline pyothorax: A retrospective case series
  8. 4968
    “…A robust deep learning-based system is proposed to detect the COVID-19 using chest X-ray images. Infected patient's chest X-ray images reveal numerous opacities (denser, confluent, and more profuse) in comparison to healthy lungs images which are used by a deep learning algorithm to generate a model to facilitate an accurate diagnostics for multi-class classification (COVID vs. normal vs. bacterial pneumonia vs. viral pneumonia) and binary classification (COVID-19 vs. non-COVID). …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images
  9. 4969
    “…This study presents the use of Convolutional Neural Network (CNN) that extracts the features from chest x-ray images for the prediction. Three filters are applied to get the edges from the images that help to get the desired segmented target with the infected area of the x-ray. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    COVINet: a convolutional neural network approach for predicting COVID-19 from chest X-ray images
  10. 4970
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Day case partial breast reconstructions with chest wall perforator flaps before and during the COVID-19 pandemic.
  11. 4971
    “…The Coronavirus disease 2019 (COVID-19) presents open questions in how we clinically diagnose and assess disease course. Recently, chest computed tomography (CT) has shown utility for COVID-19 diagnosis. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT
  12. 4972
    “…In this study, a medical system based on Deep Learning (DL) which we called “COVIDetection-Net” is proposed for automatic detection of new corona virus disease 2019 (COVID-19) infection from chest radiography images (CRIs). The proposed system is based on ShuffleNet and SqueezeNet architecture to extract deep learned features and Multiclass Support Vector Machines (MSVM) for detection and classification. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    COVIDetection-Net: A tailored COVID-19 detection from chest radiography images using deep learning
  13. 4973
    “…The CT quantitative parameters represented by the values of cluster 8 were correlated with existing laboratory data and clinical parameters. CONCLUSION: Deep chest CT analysis with constructed lesion clusters revealed well-known COVID-19 CT manifestations comparable to manual CT analysis. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective
  14. 4974
    “…However, its accuracy is as low as 60-70%, which is inefficient to uncover the infected. In comparison, the chest CT has been considered as the prior choice in diagnosis and monitoring progress of COVID-19 infection. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort
  15. 4975
    por Brunelli, Alessandro
    Publicado 2021
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Commentary-Aerosolization From Chest Drainage Systems in Patients With Air Leak: Risk of Viral Spreading in the Hospital and Community
  16. 4976
    “…The primary endpoint was the number of evaluated chest pain patients in both cohorts. In addition, the number of EMS evaluations of ST-elevation myocardial infarction (STEMI) and OHCA were assessed. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Emergency medical services evaluations for chest pain during first COVID-19 lockdown in Hollands-Midden, the Netherlands
  17. 4977
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    An ensemble approach for multi-stage transfer learning models for COVID-19 detection from chest CT scans
  18. 4978
    “…XCOVNet detects COVID-19 infections in chest X-ray patient images in two phases. The first phase pre-processes a dataset of 392 chest X-ray images of which half are COVID-19 positive and half are negative. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    XCOVNet: Chest X-ray Image Classification for COVID-19 Early Detection Using Convolutional Neural Networks
  19. 4979
    por Little, Brent P.
    Publicado 2021
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    False-Negative Nasopharyngeal Swabs and Positive Bronchoalveolar Lavage: Implications for Chest CT in Diagnosis of COVID-19 Pneumonia
  20. 4980
    “…The current COVID-19 pandemic has motivated the researchers to use artificial intelligence techniques for a potential alternative to reverse transcription-polymerase chain reaction due to the limited scale of testing. The chest X-ray (CXR) is one of the alternatives to achieve fast diagnosis, but the unavailability of large-scale annotated data makes the clinical implementation of machine learning-based COVID detection difficult. …”
    Enlace del recurso
    Enlace del recurso
    Enlace del recurso
    Online Artículo Texto
    Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks
Herramientas de búsqueda: RSS