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

<div>Clustering results of cerebral aneurysm MRI images based on GMM. Note: (a–f) showed the image with 10% noise, the clustering result of noisy images, the clustering results of the iteration generation, the clustering results of the iteration 3 generations, the clustering results of the iteration 6 generations, and the image after denoising, respectively.</div>

Computational and Mathematical Methods in Medicine

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Figure 1: [Retracted] Analysis on Characteristics of Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis of Cerebral Aneurysm 

Figure 1 | [Retracted] Analysis on Characteristics of Magnetic Resonance Imaging Image under Low-Rank Matrix Denoising Algorithm in the Diagnosis of Cerebral Aneurysm 