深層ニューラルネットワークを用いる脳灌流単一光子放射断層撮影定量法における自動関心領域設定法の開発

Material type: 博士論文

Author: 富松, 多栄子

Publisher: 熊本大学

Publication date: 2024-03-25

Material Format: Digital

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Name of awarding university/degree: 熊本大学,博士（保健学）

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Material Type: 博士論文
Title: 深層ニューラルネットワークを用いる脳灌流単一光子放射断層撮影定量法における自動関心領域設定法の開発
Author/Editor: 富松, 多栄子
Author Heading: 富松, 多栄子トミマツ, タエコ
Publication, Distribution, etc.: 熊本大学
Publication Date: 2024-03-25
Publication Date (W3CDTF): 2024-03-25
Alternative Title: Development of an automated region-of-interest-setting method based on a deep neural network for brain perfusion single photon emission computed tomography quantification methods
Degree grantor/type: 熊本大学
Date Granted: 2024-03-25
Dissertation Number: 甲保健学第24号
Degree Type: 博士（保健学）
Text Language Code: eng
NDC: 377.5
Target Audience: 一般
Format (IMT): application/pdf
Source: 全文（fulltext）
https://kumadai.repo.nii.ac.jp/record/2000505/files/hokengaku_kou24zenbun.pdf
Access Restrictions: インターネット公開
Rights (production): (C) 2024 mums.ac.ir All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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