Deep learning-based age estimation from clinical Computed Tomography image data of the thorax and abdomen in the adult population

Aging is an important risk factor for disease, leading to morphological change that can be assessed on Computed Tomography (CT) scans. We propose a deep learning model for automated age estimation based on CT- scans of the thorax and abdomen generated in a clinical routine setting. These predictions...

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Detalles Bibliográficos
Autores principales: Kerber, Bjarne, Hepp, Tobias, Küstner, Thomas, Gatidis, Sergios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629654/
https://www.ncbi.nlm.nih.gov/pubmed/37934735
http://dx.doi.org/10.1371/journal.pone.0292993

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629654/
https://www.ncbi.nlm.nih.gov/pubmed/37934735
http://dx.doi.org/10.1371/journal.pone.0292993

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