Clustering of Brain Tumor Based on Analysis of MRI Images Using Robust Principal Component Analysis (ROBPCA) Algorithm

Automated detection of brain tumor location is essential for both medical and analytical uses. In this paper, we clustered brain MRI images to detect tumor location. To obtain perfect results, we presented an unsupervised robust PCA algorithm to clustered images. The proposed method clusters brain M...

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Detalles Bibliográficos
Autores principales: Hamzenejad, Ali, Ghoushchi, Saeid Jafarzadeh, Baradaran, Vahid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423553/
https://www.ncbi.nlm.nih.gov/pubmed/34504897
http://dx.doi.org/10.1155/2021/5516819

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8423553/
https://www.ncbi.nlm.nih.gov/pubmed/34504897
http://dx.doi.org/10.1155/2021/5516819

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