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                                       Details for article 5 of 13 found articles
 
 
  Machine learning approach using 18F-FDG-PET-radiomic features and the visibility of right ventricle 18F-FDG uptake for predicting clinical events in patients with cardiac sarcoidosis
 
 
Title: Machine learning approach using 18F-FDG-PET-radiomic features and the visibility of right ventricle 18F-FDG uptake for predicting clinical events in patients with cardiac sarcoidosis
Author: Nakajo, Masatoyo
Hirahara, Daisuke
Jinguji, Megumi
Ojima, Satoko
Hirahara, Mitsuho
Tani, Atsushi
Takumi, Koji
Kamimura, Kiyohisa
Ohishi, Mitsuru
Yoshiura, Takashi
Appeared in: Japanese journal of radiology
Paging: Volume 42 () nr. 7 pages 744-752
Year: 2024-03-16
Contents:
Publisher: Springer Nature Singapore, Singapore
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 5 of 13 found articles
 
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