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。