Artificial CT images can enhance variation of case images in diagnostic radiology skills training

OBJECTIVES: We sought to investigate if artificial medical images can blend with original ones and whether they adhere to the variable anatomical constraints provided. METHODS: Artificial images were generated with a generative model trained on publicly available standard and low-dose chest CT image...

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Detalles Bibliográficos
Autores principales: Hofmeijer, Elfi Inez Saïda, Wu, Sheng-Chih, Vliegenthart, Rozemarijn, Slump, Cornelis Herman, van der Heijden, Ferdi, Tan, Can Ozan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630276/
https://www.ncbi.nlm.nih.gov/pubmed/37934344
http://dx.doi.org/10.1186/s13244-023-01508-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10630276/
https://www.ncbi.nlm.nih.gov/pubmed/37934344
http://dx.doi.org/10.1186/s13244-023-01508-4

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