Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT

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Publication Details

Journal
BMC Medical Imaging
Published
2025-05-30
DOI
https://doi.org/10.1186/s12880-025-01746-6
Citations
4
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
6.07

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article

Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT

Lan Song, Wei Song, Yinghao Xu, Zhengyu Jin et al.
4 citations
BMC Medical Imaging
Lung Cancer Diagnosis and Treatment
6.07
article

Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT

Lan Song, Wei Song, Yinghao Xu, Zhengyu Jin, Xin Sui, Zhengsong Pan, Jinhua Wang, Zhen Zhou, Ge Hu, Weixiong Tan, Zhenchen Zhu, Zhuangfei Ma, Wei Han, Zhoumeng Ying
article en
4 citations

Abstract

No abstract available for this paper.
BMC Medical ImagingVol. 25(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Center for High Pressure Science & Technology Advanced Research (CN), Beijing Chaoyang Emergency Medical Center (CN)
National Natural Science Foundation of China, Peking Union Medical College Hospital
Openalex Percentile: Top 4%
Lung Cancer Diagnosis and Treatment
6.07
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Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT — Lan Song, Wei Song, et al. · BMC Medical Imaging (2025) | TGRS Research Map | TGRS