Analysis on Characteristics of Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis of Cerebral Aneurysm

Jun Li, Jin Li, Qin Hu

DOI: 10.1155/2021/9751009
Published: 2021-11-15
Container: Computational and Mathematical Methods in Medicine
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2021/9751009,
  title = {Analysis on Characteristics of Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis of Cerebral Aneurysm},
  author = {Jun Li and Jin Li and Qin Hu},
  year = {2021},
  journal = {Computational and Mathematical Methods in Medicine},
  doi = {10.1155/2021/9751009},
  url = {https://doi.org/10.1155/2021/9751009}
}

RIS

TY  - JOUR
TI  - Analysis on Characteristics of Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis of Cerebral Aneurysm
AU  - Jun Li
AU  - Jin Li
AU  - Qin Hu
PY  - 2021
JO  - Computational and Mathematical Methods in Medicine
DO  - 10.1155/2021/9751009
UR  - https://doi.org/10.1155/2021/9751009
ER  -

APA

Li, J., Li, J., & Hu, Q. (2021). Analysis on Characteristics of Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis of Cerebral Aneurysm. Computational and Mathematical Methods in Medicine. https://doi.org/10.1155/2021/9751009

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crossref · retrieved 2026-09-25T07:21:02.920Z