A lightweight hierarchical convolution network for brain tumor segmentation

BACKGROUND: Brain tumor segmentation plays a significant role in clinical treatment and surgical planning. Recently, several deep convolutional networks have been proposed for brain tumor segmentation and have achieved impressive performance. However, most state-of-the-art models use 3D convolution...

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Detalles Bibliográficos
Autores principales: Wang, Yuhu, Cao, Yuzhen, Li, Jinqiu, Wu, Hongtao, Wang, Shuo, Dong, Xinming, Yu, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749147/
https://www.ncbi.nlm.nih.gov/pubmed/36513986
http://dx.doi.org/10.1186/s12859-022-05039-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749147/
https://www.ncbi.nlm.nih.gov/pubmed/36513986
http://dx.doi.org/10.1186/s12859-022-05039-5

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