Evaluation of radiologists’ performance compared to a deep learning algorithm for the detection of thoracic abnormalities on chest X-ray
| Autor: | Bennani, Souhail |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| DOI: | 10.26044/ecr2022/c-15432 |
| Popis: | Purpose Methods and materials Results Conclusion Personal information and conflict of interest References Purpose: Chest X-ray (CXR) is the most commonly performed radiological exam in the world. In 2006, it was estimated that 129 million CXR images were acquired in the United States alone [1]. CXR is often the first imaging study acquired and remains central to... |
| Databáze: | OpenAIRE |
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