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An Improved Soft Subspace Clustering Algorithm for Brain MR Image Segmentation

Computer Modeling in Engineering & Sciences 2023年第12期137卷 2353-2379页

作者： Lei Ling Lijun Huang Jie Wang Li Zhang Yue Wu Yizhang Jiang Kaijian Xia School of Artificial Intelligence and Computer Science Jiangnan UniversityWuxi214122China Department of Scientific Research Changshu Hospital Affiliated to Soochow UniversityChangshu215500China China Department of Biomedical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia

In recent years,the soft subspace clustering algorithm has shown good results for high-dimensional data,which can assign different weights to each cluster class and use weights to measure the contribution of each dimension in various *** enhanced soft subspace clustering algorithm combines interclass separation and intraclass tightness information,which has strong results for image segmentation,but the clustering algorithm is vulnerable to noisy data and dependence on the initialized clustering ***,the clustering algorithmis susceptible to the influence of noisydata and reliance on initializedclustering centers andfalls into a local optimum;the clustering effect is poor for brain MR images with unclear boundaries and noise *** address these problems,a soft subspace clustering algorithm for brain MR images based on genetic algorithm optimization is proposed,which combines the generalized noise technique,relaxes the equational weight constraint in the objective function as the boundary constraint,and uses a genetic algorithm as a method to optimize the initialized clustering *** genetic algorithm finds the best clustering center and reduces the algorithm’s dependence on the initial clustering *** experiment verifies the robustness of the algorithm,as well as the noise immunity in various ways and shows good results on the common dataset and the brain MR images provided by the Changshu First People’s Hospital with specific high accuracy for clinical medicine.

关键词： Soft subspace clustering image segmentation genetic algorithm generalized noise brain MR images

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