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Correction to: Fully automatic quantification for hand synovitis in rheumatoid arthritis using pixel-classification-based segmentation network in DCE-MRI.

作者信息

Fang Wanxuan, Mao Yijun, Wang Haolin, Sugimori Hiroyuki, Kiuch Shinji, Sutherland Kenneth, Kamishima Tamotsu

机构信息

Graduate School of Health Sciences, Hokkaido University, North-12 West-5, Kita-Ku, Sapporo, 060-0812, Japan.

Faculty of Health Sciences, Hokkaido University, North-12 West-5, Kita-Ku, Sapporo, 060-0812, Japan.

出版信息

Jpn J Radiol. 2024 Oct;42(10):1198. doi: 10.1007/s11604-024-01647-8.

DOI:10.1007/s11604-024-01647-8
PMID:39190124
Abstract
摘要

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Correction to: Fully automatic quantification for hand synovitis in rheumatoid arthritis using pixel-classification-based segmentation network in DCE-MRI.对《基于像素分类分割网络的DCE-MRI类风湿关节炎手部滑膜炎全自动定量分析》的更正
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引用本文的文献

1
Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospects.利用人工智能推动临床磁共振成像检查：日本的贡献与未来前景。
Jpn J Radiol. 2025 Mar;43(3):355-364. doi: 10.1007/s11604-024-01689-y. Epub 2024 Nov 16.
2
Selection of the phase of dynamic contrast-enhanced magnetic resonance imaging and use of the voxel-based enhancement maps may facilitate the assessment of clinical disease activity in patients with rheumatoid arthritis.动态对比增强磁共振成像阶段的选择以及基于体素的增强图的使用，可能有助于评估类风湿性关节炎患者的临床疾病活动度。
Jpn J Radiol. 2025 Jan;43(1):138-139. doi: 10.1007/s11604-024-01620-5. Epub 2024 Jun 24.