Keiko Arao
   Department   Kawasaki University of Medical Welfare  ,
   Position   Instructor
Article types 原著
Language English
Peer review Peer reviewed
Presence of invitation Invited paper
Title Applying patient characteristics, stent-graft selection, and pre-operative computed tomographic angiography data to a machine learning algorithm: Is endoleak prediction possible?
Journal Formal name:Radiography
Domestic / ForeginForegin
Volume, Issue, Page 28(4),pp.906-911
Author and coauthor T. Masuda, Y. Baba, T. Nakaura, Y. Funama, T. Sato, S. Masuda, R. Gotanda, K. Arao, H. Imaizumi, S. Arao, A. Ono, J. Hiratsuka, K. Awai
Publication date 2022/11