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
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- Material Type
- 博士論文
- Author/Editor
- 小林, 直樹
- Author Heading
- Publication, Distribution, etc.
- 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
- Date Granted (W3CDTF)
- 2025-03-25
- Dissertation Number
- 甲第2543号
- Degree Type
- 博士(医学)
- Text Language Code
- eng
- NDC
- Target Audience
- 一般
- Note (General)
- 機関リポジトリ記載の権利情報: 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
- Persistent ID (NDL)
- info:ndljp/pid/14436891
- Collection
- Collection (Materials For Handicapped People:1)
- Collection (particular)
- 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
- Acquisition Basis
- 博士論文(自動収集)
- Date Accepted (W3CDTF)
- 2025-07-04T22:06:25+09:00
- Format (IMT)
- application/pdf
- Access Restrictions
- 国立国会図書館内限定公開
- Service for the Digitized Contents Transmission Service
- 図書館・個人送信対象外
- Availability of remote photoduplication service
- 可
- Periodical Title (URI)
- Data Provider (Database)
- 国立国会図書館 : 国立国会図書館デジタルコレクション