Does Anatomical Contextual Information Improve 3D U-Net-Based Brain Tumor Segmentation?

Effective, robust, and automatic tools for brain tumor segmentation are needed for the extraction of information useful in treatment planning. Recently, convolutional neural networks have shown remarkable performance in the identification of tumor regions in magnetic resonance (MR) images. Context-a...

Descripción completa

Detalles Bibliográficos
Autores principales: Tampu, Iulian Emil, Haj-Hosseini, Neda, Eklund, Anders
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306843/
https://www.ncbi.nlm.nih.gov/pubmed/34201964
http://dx.doi.org/10.3390/diagnostics11071159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306843/
https://www.ncbi.nlm.nih.gov/pubmed/34201964
http://dx.doi.org/10.3390/diagnostics11071159

Ejemplares similares