Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.
文献类型：期刊论文
| 作者 | Yu, Lequan; Chen, Hao; Dou, Qi; Qin, Jing; Heng, Pheng Ann |
| 刊名 | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
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| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Automated polyp detection in colonoscopy videos has been demonstrated to be a promising way for colorectal cancer (CRC) prevention and diagnosis. Traditional manual screening is time-consuming, operator-dependent and errorprone; hence, automated detection approach is highly demanded in clinical practice. However, automated polyp detection is very challenging due to high intra-class variations in polyp size, color, shape and texture and low inter-class variations between polyps and hard mimics. In this paper, we propose a novel offline and online 3D deep learning integration framework by leveraging the 3D fully convolutional network (3D-FCN) to tackle this challenging problem. Compared with previous methods employing hand-crafted features or 2D-CNNs, the 3D-FCN is capable of learning more representative spatio-temporal features from colonoscopy videos, and hence has more powerful discrimination capability. More importantly, we propose a novel online learning scheme to deal with the problem of limited training data by harnessing the specific information of an input video in the learning process. We integrate offline and online learning to effectively reduce the number of false positives generated by the offline network and further improve the detection performance. Extensive experiments on the dataset of MICCAI 2015 Challenge on Polyp Detection demonstrated the better performance of our method when compared with other competitors. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/11587]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS |
| 推荐引用方式 GB/T 7714 | Yu, Lequan,Chen, Hao,Dou, Qi,et al. Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2017. |
| APA | Yu, Lequan,Chen, Hao,Dou, Qi,Qin, Jing,&Heng, Pheng Ann.(2017).Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos..IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. |
| MLA | Yu, Lequan,et al."Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos.".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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