Fully-Automated Segmentation of Nasopharyngeal Carcinoma on Dual-Sequence MRI Using Convolutional Neural Networks

In this study, we proposed an automated method based on convolutional neural network (CNN) for nasopharyngeal carcinoma (NPC) segmentation on dual-sequence magnetic resonance imaging (MRI). T1-weighted (T1W) and T2-weighted (T2W) MRI images were collected from 44 NPC patients. We developed a dense c...

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Detalles Bibliográficos
Autores principales: Ye, Yufeng, Cai, Zongyou, Huang, Bin, He, Yan, Zeng, Ping, Zou, Guorong, Deng, Wei, Chen, Hanwei, Huang, Bingsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045897/
https://www.ncbi.nlm.nih.gov/pubmed/32154168
http://dx.doi.org/10.3389/fonc.2020.00166

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045897/
https://www.ncbi.nlm.nih.gov/pubmed/32154168
http://dx.doi.org/10.3389/fonc.2020.00166

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