Nested Dilation Networks for Brain Tumor Segmentation Based on Magnetic Resonance Imaging

Aim: Brain tumors are among the most fatal cancers worldwide. Diagnosing and manually segmenting tumors are time-consuming clinical tasks, and success strongly depends on the doctor's experience. Automatic quantitative analysis and accurate segmentation of brain tumors are greatly needed for ca...

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Detalles Bibliográficos
Autores principales: Wang, Liansheng, Wang, Shuxin, Chen, Rongzhen, Qu, Xiaobo, Chen, Yiping, Huang, Shaohui, Liu, Changhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460997/
https://www.ncbi.nlm.nih.gov/pubmed/31024229
http://dx.doi.org/10.3389/fnins.2019.00285

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6460997/
https://www.ncbi.nlm.nih.gov/pubmed/31024229
http://dx.doi.org/10.3389/fnins.2019.00285

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