中国医学装备Issue(2)：25-28,4.DOI:10.3969/J.ISSN.1672-8270.2016.02.008
基于多尺度卷积神经网络的磁共振成像脑肿瘤分割研究
Research on tha application of brain tumor segmentation of MRI based on multi-scale convolutional neural networks
李健 1罗蔓 1罗晓 1蓝威 1周怀恒 1陈荣耀1
作者信息
- 1. 广东省农垦中心医院肿瘤放射治疗中心 广东 湛江 524002
- 折叠
摘要
Abstract
Objective:In view of these tumors can appear anywhere in the brain and have almost any kind of shape and size, a new segmentation method of MRI based on intelligent convolutional neural network is developed.Methods: The convolutional neural network is applied in brain tumor segmentation, according to the features of the brain tumor, the multi-scale convolutional neural network is proposed and conducted multi-scale input and multi-scale down sampling to overcome the individual differences of brain tumor. At the same time it adapted any kind of size, shape and contrast of the difference layers.Results: Data from 30 patients showed that the proposed algorithm is effective. The average Dice is 83.11%, the average sensitivity coefficient is 89.48%. the average predictive positivity value coefficient is 78.91%.Conclusion: It can improve the segmentation accuracy obviously. The multi-scale convolution neural network can adaptively the differences of brain tumor, have more effective segmentation for more images.关键词
脑肿瘤分割/多尺度/卷积神经网络/磁共振成像Key words
Brain tumor segmentation/Multi-scale/Convolutional neural network/Magnetic resonance imaging分类
医药卫生引用本文复制引用
李健,罗蔓,罗晓,蓝威,周怀恒,陈荣耀..基于多尺度卷积神经网络的磁共振成像脑肿瘤分割研究[J].中国医学装备,2016,(2):25-28,4.
