A comprehensive investigation of morphological features responsible for cerebral aneurysm rupture using machine learning
Crossref DOI link: https://doi.org/10.1038/s41598-024-66840-1
Published Online: 2024-07-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zakeri, Mostafa
Atef, Amirhossein
Aziznia, Mohammad
Jafari, Azadeh
Text and Data Mining valid from 2024-07-09
Version of Record valid from 2024-07-09
Article History
Received: 18 February 2024
Accepted: 4 July 2024
First Online: 9 July 2024
Competing interests
: The authors declare no competing interests.