Pixel-Label-Based Segmentation of Cross-Sectional Brain MRI Using Simplified SegNet Architecture-Based CNN

Using deep neural networks for segmenting an MRI image of heterogeneously distributed pixels into a specific class assigning a label to each pixel is the concept of the proposed approach. This approach facilitates the application of the segmentation process on a preprocessed MRI image, with a traine...

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Detalles Bibliográficos
Autores principales: Khagi, Bijen, Kwon, Goo-Rak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230419/
https://www.ncbi.nlm.nih.gov/pubmed/30510671
http://dx.doi.org/10.1155/2018/3640705

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6230419/
https://www.ncbi.nlm.nih.gov/pubmed/30510671
http://dx.doi.org/10.1155/2018/3640705

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