小脳橋角部腫瘍の術前評価におけるDLR を用いた高分解能 3D T2WI の有効性
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- Material Type
- 博士論文
- Author/Editor
- 外村, 政道
- Author Heading
- 外村, 政道 ホカムラ, マサミチ
- Publication, Distribution, etc.
- Publication Date
- 2025-03-25
- Publication Date (W3CDTF)
- 2025-03-25
- Alternative Title
- Effect of deep learning‑based reconstruction on high‑resolution three‑dimensional T2‑weighted fast asymmetric spin‑echo imaging in the preoperative evaluation of cerebellopontine angle tumors
- Degree Grantor
- 熊本大学
- Date Granted
- 2025-03-25
- Dissertation Number
- 甲第2558号
- Degree Type
- 博士（医学）
- Text Language Code
- eng
- Subject Heading
- NDC
- Target Audience
- 一般
- Format (IMT)
- application/pdf
- Source
- 全文 （fulltext）
- Access Restrictions
- インターネット公開
- Rights (production)
- This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00234-024-03328-9Reproduced with permission from Springer Nature
- 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）
- Original Data Provider (Database)
- 熊本大学 : 熊本大学学術リポジトリ