MRI-based brain tumor segmentation using FPGA-accelerated neural network

BACKGROUND: Brain tumor segmentation is a challenging problem in medical image processing and analysis. It is a very time-consuming and error-prone task. In order to reduce the burden on physicians and improve the segmentation accuracy, the computer-aided detection (CAD) systems need to be developed...

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Detalles Bibliográficos
Autores principales: Xiong, Siyu, Wu, Guoqing, Fan, Xitian, Feng, Xuan, Huang, Zhongcheng, Cao, Wei, Zhou, Xuegong, Ding, Shijin, Yu, Jinhua, Wang, Lingli, Shi, Zhifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422637/
https://www.ncbi.nlm.nih.gov/pubmed/34493208
http://dx.doi.org/10.1186/s12859-021-04347-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8422637/
https://www.ncbi.nlm.nih.gov/pubmed/34493208
http://dx.doi.org/10.1186/s12859-021-04347-6

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