Q
Qianjing Feng
Researcher at Southern Medical University
Publications - 5
Citations - 600
Qianjing Feng is an academic researcher from Southern Medical University. The author has contributed to research in topics: Feature (computer vision) & Imaging phantom. The author has an hindex of 4, co-authored 5 publications receiving 507 citations.
Papers
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Journal ArticleDOI
Artifact suppressed dictionary learning for low-dose CT image processing.
Yang Chen,Luyao Shi,Qianjing Feng,Jiang Yang,Huazhong Shu,Limin Luo,Jean-Louis Coatrieux,Wufan Chen +7 more
TL;DR: Qualitative and quantitative evaluations on a large set of abdominal and mediastinum CT images are carried out and the results show that the proposed ASDL method can be efficiently applied in most current CT systems.
Journal ArticleDOI
Curve-Like Structure Extraction Using Minimal Path Propagation With Backtracking
Yang Chen,Yudong Zhang,Jian Yang,Qing Cao,Guanyu Yang,Jian Chen,Huazhong Shu,Limin Luo,Jean-Louis Coatrieux,Qianjing Feng +9 more
TL;DR: It is found that the information in the process of backtracking from reached points can be well utilized to overcome the above problems and improve the extraction performance.
Journal ArticleDOI
3D Feature Constrained Reconstruction for Low-Dose CT Imaging
Jin Liu,Yining Hu,Jian Yang,Yang Chen,Huazhong Shu,Limin Luo,Qianjing Feng,Zhiguo Gui,Gouenou Coatrieux +8 more
TL;DR: Qualitative and quantitative results show that the proposed 3D feature constrained reconstruction (3D-FCR) algorithm can lead to a promising improvement of LDCT image quality.
Journal ArticleDOI
Improving low-dose abdominal CT images by Weighted Intensity Averaging over Large-scale Neighborhoods.
Yang Chen,Yang Chen,Wufan Chen,Xindao Yin,Xianghua Ye,Bao Xudong,Limin Luo,Qianjing Feng,Yinsheng li,Xiaoe Yu +9 more
TL;DR: Compared to original LDCT and standard-dose CT (SDCT) images, statistically significant improvement of noise/artifacts suppression, contrast preservation and hepatic cyst detection in LDCT images are achieved by using the proposed Weighted Intensity Averaging over Large-scale Neighborhoods (WIA-LN).
Journal ArticleDOI
Extended PCJO for the Detection-Localization of Hypersignals and Hyposignals in CT Images
Yang Chen,Lu Zhang,Wenlong Yuan,Guanyu Yang,Jian Yang,Tianjie Xu,Huazhong Shu,Limin Luo,Qianjing Feng,Xuetong Zhai +9 more
TL;DR: The results demonstrate that the extended PCJO is an alternative to replace radiologists for the evaluation and comparison of different medical image processing algorithms.