Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes

被引：0
|
作者：
Koichiro Yasaka
Tomoya Tanishima
Yuta Ohtake
Taku Tajima
Hiroyuki Akai
Kuni Ohtomo
Osamu Abe
Shigeru Kiryu
机构：
[1] The University of Tokyo Hospital,Department of Radiology
[2] International University of Health and Welfare Narita Hospital,Department of Radiology
[3] International University of Health and Welfare Mita Hospital,Department of Radiology
[4] The University of Tokyo,Department of Radiology, The Institute of Medical Science
[5] International University of Health and Welfare,undefined
来源：
European Radiology | 2022年 / 32卷
关键词：
Artificial intelligence; Deep learning; Magnetic resonance imaging; Cervical vertebrae; Neurodegenerative diseases;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：6118 / 6125
页数：7
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