深層畳み込みニューラルネットワークによる新しい指標を用いたCT画像の解像度特性のタスクベース評価

Search by Bookstore

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

Kumamoto University Repository
Digital
You can check the holdings of institutions and databases with which Institutional Repositories DataBase(IRDB)(Institutional Repository) is linked at the site of Institutional Repositories DataBase(IRDB)(Institutional Repository).
Kumamoto University Repository

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

Material Type: 博士論文
Title: 深層畳み込みニューラルネットワークによる新しい指標を用いたCT画像の解像度特性のタスクベース評価
Author/Editor: 林, 藍子
Author Heading: 林, 藍子ハヤシ, アイコ
Publication, Distribution, etc.: 熊本大学
Publication Date: 2024-03-25
Publication Date (W3CDTF): 2024-03-25
Alternative Title: Task-based assessment of resolution properties of CT images with a new index using deep convolutional neural network
Degree grantor/type: 熊本大学
Date Granted: 2024-03-25
Dissertation Number: 甲保健学第29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/2000490/files/hokengaku_kou29zenbun.pdf
Access Restrictions: インターネット公開
Rights (production): (C) The Author(s), under exclusive licence to Japanese Society of Radiological Technology and Japan Society of Medical Physics 2023
Is Version Of (DOI): 10.1007/s12194-023-00751-0
http://hdl.handle.net/2298/0002000490
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