Erratum: Deep learning-based super-resolution method for projection image compression in radiotherapy

Three-low technique has a good application value in CTA for patients with a BMI of lower than 30 kg/m<sup>2</sup>; the effective radiation dose was decreased by 76.2%, the contrast agent volume was decreased by 37.5%, and all images met the diagnostic requirements.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-09-24
DOI
https://doi.org/10.21037/qims-2025-203
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
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Erratum: Deep learning-based super-resolution method for projection image compression in radiotherapy

Ran Zhang, Ying Chen, Xiaoyi Deng, Zhijian Chen et al.
Quantitative Imaging in Medicine and Surgery
Cardiovascular Disease and Adiposity
article

Erratum: Deep learning-based super-resolution method for projection image compression in radiotherapy

Ran Zhang, Ying Chen, Xiaoyi Deng, Zhijian Chen, Shaogang Wang, Xueqin Zhang, Tao Zhang
article en

Abstract

Three-low technique has a good application value in CTA for patients with a BMI of lower than 30 kg/m<sup>2</sup>; the effective radiation dose was decreased by 76.2%, the contrast agent volume was decreased by 37.5%, and all images met the diagnostic requirements.

Quantitative Imaging in Medicine and SurgeryVol. 15(10)
Nantong University (CN), Soochow University (CN), Zhangjiagang First People's Hospital (CN)
Openalex Percentile: Top 60%
Cardiovascular Disease and Adiposity
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