CASIA OpenIR  > 类脑智能研究中心
Deep Learning and Shapes Similarity for Joint Segmentation and Tracing single Neurons in SEM images
Rao Q(饶强); Xiao C(肖驰); Han H(韩华); Shen LJ(沈丽君); Chen X(陈曦); Xie QW(谢启伟)
2017-04
Conference NameSPIE Medical Imaging
Conference Date2017-2-10
Conference Place美国 奥兰多
AbstractExtracting the structure of single neurons is critical for understanding how they function within the neural circuits. Recent developments in microscopy techniques, and the widely recognized need for openness and standardization provide a community resource for automated reconstruction of dendritic and axonal morphology of single neurons. In order to look into the fine structure of neurons, we use the Automated Tape-collecting Ultra Microtome Scanning Electron Microscopy (ATUM-SEM) to get images sequence of serial sections of animal brain tissue that densely packed with neurons. Different from other neuron reconstruction method, we propose a method that enhances the SEM images by detecting the neuronal membranes with deep convolutional neural network (DCNN) and segments single neurons by active contour with group shape similarity. We joint the segmentation and tracing together and they interact with each other by alternate iteration that tracing aids the selection of candidate region patch for active contour segmentation while the segmentation provides the neuron geometrical features which improve the robustness of tracing. The tracing model mainly relies on the neuron geometrical features and is updated after neuron being segmented on the every next section. Our method enables the reconstruction of neurons of the drosophila mushroom body which is cut to serial sections and imaged under SEM. Our method provides an elementary step for the whole reconstruction of neuronal networks.
KeywordDeep Convolutional Neural Network Active Contour Neuron Reconstruction Membrane Detection Probability Map Neuron Tracing
Subject Area模式识别与智能系统
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14645
Collection类脑智能研究中心
Affiliation中国科学院自动化研究所
Recommended Citation
GB/T 7714
Rao Q,Xiao C,Han H,et al. Deep Learning and Shapes Similarity for Joint Segmentation and Tracing single Neurons in SEM images[C],2017.
Files in This Item: Download All
File Name/Size DocType Version Access License
Deep learning and sh(1219KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Rao Q(饶强)]'s Articles
[Xiao C(肖驰)]'s Articles
[Han H(韩华)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Rao Q(饶强)]'s Articles
[Xiao C(肖驰)]'s Articles
[Han H(韩华)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Rao Q(饶强)]'s Articles
[Xiao C(肖驰)]'s Articles
[Han H(韩华)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Deep learning and shapes similarity for joint segmentation and tracing single neurons in SEM images.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.