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![]() ![]() ![]() ![]() | |
2015 | |
Conference Name | Information Processing in Medical Imaging |
Source Publication | IPMI |
Conference Date | 2015-6 |
Conference Place | Sabhal Mor Ostaig College on the Isle of Skye, Scotland |
Abstract | 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. |
Keyword | Lung Nodule Classification Computed Tomography Imaging Convolutional Neural Networks Computer-aided Diagnoses |
Indexed By | EI |
Document Type | 会议论文 |
Identifier | http://ir.ia.ac.cn/handle/173211/11699 |
Collection | 中国科学院分子影像重点实验室 |
Corresponding Author | Tian J(田捷) |
Affiliation | 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 |
First Author Affilication | Institute of Automation, Chinese Academy of Sciences |
Recommended Citation GB/T 7714 | Shen W,Mu Zhou,Feng Yang,et al. Multi-scale Convolutional Neural Networks for Lung Nodule Classification[C],2015. |
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ipmi.pdf(4803KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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