スカウト画像を基にした心臓CTにおける必要造影剤量の深層学習モデルによる予測

Material type: 博士論文

Author: 小林, 直樹

Publisher: 熊本大学

Date granted: 2025-03-25

Material Format: Digital

Capacity, size, etc.: -

Degree grantor and degree: 熊本大学,博士（医学）

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Material Type: 博士論文
Title: スカウト画像を基にした心臓CTにおける必要造影剤量の深層学習モデルによる予測
Author/Editor: 小林, 直樹
Author Heading: 小林, 直樹コバヤシ, ナオキ
Publication, Distribution, etc.: 熊本大学
Publication Date: 2025-03-25
Publication Date (W3CDTF): 2025-03-25
Alternative Title: The Feasibility of Using a Deep Learning-Based Model to Determine Cardiac Computed Tomographic Contrast Dose
Degree Grantor: 熊本大学
Date Granted: 2025-03-25
Dissertation Number: 甲第2543号
Degree Type: 博士（医学）
Text Language Code: eng
Subject Heading: Retrospective Studies
Deep Learning
Tomography
X-Ray Computed
Iodine
Contrast Media
NDC: 377.5
Target Audience: 一般
Format (IMT): application/pdf
Source: 全文（fulltext）
https://kumadai.repo.nii.ac.jp/record/2001015/files/igaku_kou2543zenbun.pdf
Access Restrictions: インターネット公開
Rights (production): This is a pre-copyedited, author-produced version of an article accepted for publication in [Journal of Computer Assisted Tomography]. The published version of record [Journal of Computer Assisted Tomography,48(1),85-91,2024.] is available online at:https://doi.org/10.1097/rct.0000000000001532
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 熊本大学 : 熊本大学学術リポジトリ