Pricing and cost-saving potential for deep-learning computer-aided lung nodule detection software in CT lung cancer screening

OBJECTIVE: An increasing number of commercial deep learning computer-aided detection (DL-CAD) systems are available but their cost-saving potential is largely unknown. This study aimed to gain insight into appropriate pricing for DL-CAD in different reading modes to be cost-saving and to determine t...

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Detalles Bibliográficos
Autores principales: Du, Yihui, Greuter, Marcel J. W., Prokop, Mathias W., de Bock, Geertruida H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682324/
https://www.ncbi.nlm.nih.gov/pubmed/38010436
http://dx.doi.org/10.1186/s13244-023-01561-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682324/
https://www.ncbi.nlm.nih.gov/pubmed/38010436
http://dx.doi.org/10.1186/s13244-023-01561-z

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