Deep learning reconstructionを用いた腹部単純CTにおける放射線被ばく低減の可能性

Icons representing 記事

Deep learning reconstructionを用いた腹部単純CTにおける放射線被ばく低減の可能性

Call No. (NDL)
Z19-205
Bibliographic ID of National Diet Library
032900647
Material type
記事
Author
鬼塚 泰裕ほか
Publisher
京都 : 日本放射線技術学会
Publication date
2023-05
Material Format
Paper
Journal name
日本放射線技術学会雑誌 = Japanese journal of radiological technology 79(5)=631:2023.5
Publication Page
p.446-452
View All

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

  • CiNii Research

    Search Service
    Digital
    You can check the holdings of institutions and databases with which CiNii Research is linked at the site of CiNii Research.

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Paper Digital

Material Type
記事
Author/Editor
鬼塚 泰裕
酒井 友貴
白坂 崇
近藤 雅敏
加藤 豊幸
Alternative Title
Possible Radiation Dose Reduction in Abdominal Plain CT Using Deep Learning Reconstruction
Periodical title
日本放射線技術学会雑誌 = Japanese journal of radiological technology
No. or year of volume/issue
79(5)=631:2023.5
Volume
79
Issue
5
Sequential issue number
631