Optimal Superpixel Kernel-Based Kernel Low-Rank and Sparsity Representation for Brain Tumour Segmentation

Given the need for quantitative measurement and 3D visualisation of brain tumours, more and more attention has been paid to the automatic segmentation of tumour regions from brain tumour magnetic resonance (MR) images. In view of the uneven grey distribution of MR images and the fuzzy boundaries of...

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Detalles Bibliográficos
Autores principales: Ge, Ting, Zhan, Tianming, Li, Qinfeng, Mu, Shanxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249491/
https://www.ncbi.nlm.nih.gov/pubmed/35785083
http://dx.doi.org/10.1155/2022/3514988

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249491/
https://www.ncbi.nlm.nih.gov/pubmed/35785083
http://dx.doi.org/10.1155/2022/3514988

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