高精細CT画像にde...

高精細CT画像にdeep learning reconstructionを適用した慢性閉塞性肺疾患の気道病変の定量評価 : wall area percentageとforced expiratory volume in one second percentageとの相関

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高精細CT画像にdeep learning reconstructionを適用した慢性閉塞性肺疾患の気道病変の定量評価 : wall area percentageとforced expiratory volume in one second percentageとの相関

Call No. (NDL)
Z19-205
Bibliographic ID of National Diet Library
032488936
Material type
記事
Author
村松 駿ほか
Publisher
京都 : 日本放射線技術学会
Publication date
2022-10
Material Format
Paper
Journal name
日本放射線技術学会雑誌 = Japanese journal of radiological technology 78(10)=624:2022.10
Publication Page
p.1167-1175
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Paper Digital

Material Type
記事
Author/Editor
村松 駿
佐藤 和宏
Alternative Title
Quantitative Evaluation of Airway Lesions in Chronic Obstructive Pulmonary Disease by Applying Deep Learning Reconstruction to Ultra-high-resolution CT Images : Correlation between Wall Area Percentage and Forced Expiratory Volume in One Second Percentage
Periodical title
日本放射線技術学会雑誌 = Japanese journal of radiological technology
No. or year of volume/issue
78(10)=624:2022.10
Volume
78
Issue
10
Sequential issue number
624