CASIA OpenIR  > 中国科学院分子影像重点实验室
Automatic Localization of Vertebrae Based on Convolutional Neural Networks
Shen W(沈伟)1; Yang F(杨凤)2; Mou W(牟玮)1; Yang CY(杨彩云)1; Tian J(田捷)1; Tian J(田捷)
2015
会议名称SPIE Medical Imaging
会议录名称SPIE
会议日期2015-2-21
会议地点Orlando
摘要Localization of the spine is of importance in many medical applications. For example, the spine can serve as the landmark in image registration. It can also provide a reference coordinate system to facilitate the localization of other organs in the chest. Since the localization of the spine is based on that of the vertebrae which compose the spine, the accuracy of the vertebrae localization becomes very critical. In this paper, we propose a new vertebrae localization method using convolutional neural networks (CNNs). The main advantage of the proposed method is the removal of hand-crafted features. Firstly, we construct two training sets to train two CNNs that share the same architecture. One is used to distinguish the vertebrae from other structures in the chest, and the other is aimed at detecting the centers of the vertebrae. The architecture contains two convolutional layers, either of which is followed by a max-pooling layer. Then the output feature vector from the max-pooling layer is fed into a multilayer perceptron (MLP) classifier which has one hidden layer. Experiments were performed on ten chest CT images. We used leave-one-out strategy to train and test the proposed method. Quantitative comparison between the predict centers and ground truth shows that our convolutional neural networks can achieve promising localization accuracy without hand-crafted features.
关键词Vertebrae Localization Hand-crafted Features Convolutional Neural Networks
学科领域医学图像处理
DOI10.1117/12.2081941
收录类别EI
引用统计
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/11698
专题中国科学院分子影像重点实验室
通讯作者Tian J(田捷)
作者单位1.Intelligent Medical Research Center, Institute of Automation, Chinese Academy of Sciences
2.School of Computer and Information Technology, Beijing Jiaotong University
推荐引用方式
GB/T 7714
Shen W,Yang F,Mou W,et al. Automatic Localization of Vertebrae Based on Convolutional Neural Networks[C],2015.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
AutomaticLocalizatio(4152KB)会议论文 开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Shen W(沈伟)]的文章
[Yang F(杨凤)]的文章
[Mou W(牟玮)]的文章
百度学术
百度学术中相似的文章
[Shen W(沈伟)]的文章
[Yang F(杨凤)]的文章
[Mou W(牟玮)]的文章
必应学术
必应学术中相似的文章
[Shen W(沈伟)]的文章
[Yang F(杨凤)]的文章
[Mou W(牟玮)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: AutomaticLocalizationofVertebraeusingConvolutionalNeuralNetworks_v3.doc
格式: Microsoft Word
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。