Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging

BACKGROUND: Despite the prevalence of chest CT in the clinic, concerns about unoptimized protocols delivering high radiation doses to patients still remain. This study aimed to assess the additional radiation dose associated with overscanning in chest CT and to develop an automated deep learning-ass...

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Detalles Bibliográficos
Autores principales: Salimi, Yazdan, Shiri, Isaac, Akhavanallaf, Azadeh, Mansouri, Zahra, Saberi Manesh, Abdollah, Sanaat, Amirhossein, Pakbin, Masoumeh, Askari, Dariush, Sandoughdaran, Saleh, Sharifipour, Ehsan, Arabi, Hossein, Zaidi, Habib
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572075/
https://www.ncbi.nlm.nih.gov/pubmed/34743251
http://dx.doi.org/10.1186/s13244-021-01105-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572075/
https://www.ncbi.nlm.nih.gov/pubmed/34743251
http://dx.doi.org/10.1186/s13244-021-01105-3

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