Deep learning-driven multi-view multi-task image quality assessment method for chest CT image
Abstract Background Chest computed tomography (CT) image quality impacts radiologists’ diagnoses. Pre-diagnostic image quality assessment is essential but labor-intensive and may have human limitations (fatigue, perceptual biases, and cognitive biases). This study aims to develop and validate a deep...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BMC
2023-12-01
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| Series: | BioMedical Engineering OnLine |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s12938-023-01183-y |
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