中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder

文献类型:期刊论文

作者Hu, Qingmao; Wang, Changmiao; Elazab, Ahmed; Jia, Fucang; Wu, Jianhuang
刊名BioMedical EngINEERING ONLINE
出版日期2018
文献子类期刊论文
英文摘要In this paper, we aim to investigate the effect of computer-aided triage system, which is implemented for the health checkup of lung lesions involving tens of thousands of chest X-rays (CXRs) that are required for diagnosis. Therefore, high accuracy of diagnosis by an automated system can reduce the radiologist’s workload on scrutinizing the medical images.
URL标识查看原文
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/14201]  
专题深圳先进技术研究院_医工所
推荐引用方式
GB/T 7714
Hu, Qingmao,Wang, Changmiao,Elazab, Ahmed,et al. Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder[J]. BioMedical EngINEERING ONLINE,2018.
APA Hu, Qingmao,Wang, Changmiao,Elazab, Ahmed,Jia, Fucang,&Wu, Jianhuang.(2018).Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder.BioMedical EngINEERING ONLINE.
MLA Hu, Qingmao,et al."Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder".BioMedical EngINEERING ONLINE (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

浏览0
下载0
收藏0
其他版本

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。