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

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

Abstract 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 C...

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Bibliographic Details
Main Authors: Elfi Inez Saïda Hofmeijer, Sheng-Chih Wu, Rozemarijn Vliegenthart, Cornelis Herman Slump, Ferdi van der Heijden, Can Ozan Tan
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:Insights into Imaging
Subjects:
Artificial image
Artificial intelligence
Radiology
Medical image education
Personalized education
Online Access:https://doi.org/10.1186/s13244-023-01508-4

Internet

https://doi.org/10.1186/s13244-023-01508-4

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