Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut

Accurate and reliable segmentation of nasopharyngeal carcinoma (NPC) in medical images is an import task for clinical applications, including radiotherapy. However, NPC features large variations in lesion size and shape, as well as inhomogeneous intensities within the tumor and similar intensity to...

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Detalles Bibliográficos
Autores principales: Ma, Zongqing, Wu, Xi, Song, Qi, Luo, Yong, Wang, Yan, Zhou, Jiliu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6122541/
https://www.ncbi.nlm.nih.gov/pubmed/30210602
http://dx.doi.org/10.3892/etm.2018.6478

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6122541/
https://www.ncbi.nlm.nih.gov/pubmed/30210602
http://dx.doi.org/10.3892/etm.2018.6478

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