Low-Grade Glioma Segmentation Based on CNN with Fully Connected CRF

This work proposed a novel automatic three-dimensional (3D) magnetic resonance imaging (MRI) segmentation method which would be widely used in the clinical diagnosis of the most common and aggressive brain tumor, namely, glioma. The method combined a multipathway convolutional neural network (CNN) a...

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Detalles Bibliográficos
Autores principales: Li, Zeju, Wang, Yuanyuan, Yu, Jinhua, Shi, Zhifeng, Guo, Yi, Chen, Liang, Mao, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485483/
https://www.ncbi.nlm.nih.gov/pubmed/29065666
http://dx.doi.org/10.1155/2017/9283480

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485483/
https://www.ncbi.nlm.nih.gov/pubmed/29065666
http://dx.doi.org/10.1155/2017/9283480

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