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

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

Abstract 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 d...

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Bibliographic Details
Main Authors: Siyu Xiong, Guoqing Wu, Xitian Fan, Xuan Feng, Zhongcheng Huang, Wei Cao, Xuegong Zhou, Shijin Ding, Jinhua Yu, Lingli Wang, Zhifeng Shi
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Bioinformatics
Subjects:
Brain tumor segmatation
FPGA acceleration
Neural network
Online Access:https://doi.org/10.1186/s12859-021-04347-6

Internet

https://doi.org/10.1186/s12859-021-04347-6

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