Brain tumor segmentation in multimodal MRI via pixel-level and feature-level image fusion

Brain tumor segmentation in multimodal MRI volumes is of great significance to disease diagnosis, treatment planning, survival prediction and other relevant tasks. However, most existing brain tumor segmentation methods fail to make sufficient use of multimodal information. The most common way is to...

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Detalles Bibliográficos
Autores principales: Liu, Yu, Mu, Fuhao, Shi, Yu, Cheng, Juan, Li, Chang, Chen, Xun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515796/
https://www.ncbi.nlm.nih.gov/pubmed/36188482
http://dx.doi.org/10.3389/fnins.2022.1000587

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515796/
https://www.ncbi.nlm.nih.gov/pubmed/36188482
http://dx.doi.org/10.3389/fnins.2022.1000587

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