Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study

BACKGROUND: MRI scanning has revolutionized the clinical diagnosis of lumbar spinal stenosis (LSS). However, there is currently no consensus as to how best to classify MRI findings which has hampered the development of robust longitudinal epidemiological studies of the condition. We developed and te...

詳細記述

保存先:
書誌詳細
出版年:BMC Musculoskelet Disord
主要な著者: Ishimoto, Yuyu, Jamaludin, Amir, Cooper, Cyrus, Walker-Bone, Karen, Yamada, Hiroshi, Hashizume, Hiroshi, Oka, Hiroyuki, Tanaka, Sakae, Yoshimura, Noriko, Yoshida, Munehito, Urban, Jill, Kadir, Timor, Fairbank, Jeremy
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2020
主題:
Research Article
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7066833/
https://ncbi.nlm.nih.gov/pubmed/32164627
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12891-020-3164-1
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!

類似資料