| アイテムタイプ |
学術雑誌掲載論文(1) |
| 公開日 |
2026-01-23 |
| タイトル |
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|
タイトル |
Improving image quality on pediatric and neonatal radiography using AI-based compensation for image degradation |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 著者 |
Ode So
Fujikawa Atsuko
Hiroishi Atsushi
Saito Yuki
Tanuma Takao
Suzuki Daigo
Sasaki Yuichi
Mimura Hidefumi
|
| キーワード |
|
|
言語 |
en |
|
主題 |
Artificial intelligence, Noise reduction, Pediatric radiology, Radiography |
| 識別子 |
|
|
識別子 |
https://doi.org/10.1007/s11604-025-01775-9 |
|
識別子タイプ |
DOI |
| 書誌情報 |
en : Japanese journal of radiology
巻 43,
号 8,
p. 1365-1371,
ページ数 7,
発行日 2025-04-07
|
| 出版者 |
|
|
出版者 |
Springer Nature |
|
言語 |
en |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1867-108X |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| アクセス権 |
|
|
アクセス権 |
open access |
| 権利情報 |
|
|
権利情報 |
© The Author(s) 2025 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
s11604-025-01775-9.pdf (1.4 MB)
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