Applications of deep learning to reduce the need for iodinated contrast media for CT imaging: a systematic review

Autor:	Ghazal Azarfar, Seok-Bum Ko, Scott J. Adams, Paul S. Babyn
Rok vydání:	2023
Předmět:	Biomedical Engineering Health Informatics Radiology Nuclear Medicine and imaging Surgery General Medicine Computer Vision and Pattern Recognition Computer Graphics and Computer-Aided Design Computer Science Applications
Zdroj:	International Journal of Computer Assisted Radiology and Surgery.
ISSN:	1861-6429
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::efbf4679e6523dfd6f0cbb540a13667d https://doi.org/10.1007/s11548-023-02862-w Zobrazit plný text záznamu Full text from SpringerLink