Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Multi-scale Convolutional Neural Networks for Lung Nodule Classification | |
Shen W(沈伟)1; Mu Zhou3; Feng Yang2; Caiyun Yang1; Jie Tian1; Tian J(田捷) | |
2015 | |
会议名称 | Information Processing in Medical Imaging |
会议录名称 | IPMI |
会议日期 | 2015-6 |
会议地点 | Sabhal Mor Ostaig College on the Isle of Skye, Scotland |
摘要 | We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomography (CT) screening. Unlike traditional studies primarily relying on nodule segmentation for regional analysis, we tackle a more challenging problem on directly modelling raw nodule patches without any prior denition of nodule morphology. We propose a hierarchical learning framework--Multi-scale Convolutional Neural Networks (MCNN)--to capture nodule heterogeneity by extracting discriminative features from alternatingly stacked layers. In particular, to suffciently quantify nodule characteristics, our framework utilizes multi-scale nodule patches to learn a set of class-specic features simultaneously by concatenating response neuron activations obtained at the last layer from each input scale. We evaluate the proposed method on CT images from Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI), where both lung nodule screening and nodule annotations are provided. Experimental results demonstrate the effectiveness of our method on classifying malignant and benign nodules without nodule segmentation. |
关键词 | Lung Nodule Classification Computed Tomography Imaging Convolutional Neural Networks Computer-aided Diagnoses |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11699 |
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.Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, Institute of Automation, Chinese Academy of Sciences 2.School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China 3.Department of Computer Science and Engineering, University of South Florida, Tampa, United States |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Shen W,Mu Zhou,Feng Yang,et al. Multi-scale Convolutional Neural Networks for Lung Nodule Classification[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 | ||
ipmi.pdf(4803KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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。
修改评论