当前位置:
X-MOL 学术
›
IET Comput. Vis.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Polyp detection using CNNs in colonoscopy video
IET Computer Vision ( IF 1.7 ) Pub Date : 2020-08-06 , DOI: 10.1049/iet-cvi.2019.0300 Azadeh Haj‐Manouchehri 1 , Hossein Mahvash Mohammadi 1
IET Computer Vision ( IF 1.7 ) Pub Date : 2020-08-06 , DOI: 10.1049/iet-cvi.2019.0300 Azadeh Haj‐Manouchehri 1 , Hossein Mahvash Mohammadi 1
Affiliation
Polyps are a group of cells growing on the inner surface of the colon. Over time, some polyps can lead to colon cancer, which is often fatal if found in its later stages. Colon cancer can be prevented if the polyps are identified and removed in their early stages. Colonoscopy is a very effective screening method to remove polyps and it largely prevents colon cancer. However, some polyps may not be detected during a colonoscopy due to human error. Over the past two decades, many studies have been conducted on computer-aided detection to reduce the miss rate of polyps. This study consists of two distinct parts, the detection of frames containing polyps and polyp segmentation. In the first section, a new convolutional neural network based on the VGG network is proposed. The proposed network has an accuracy of 86% on a newly collected dataset. In the polyp segmentation section, a fully convolutional network and an effective post-processing algorithm are presented. An evaluation of the proposed polyp segmentation system on the ETIS-LARIB database achieves an overall 82.00% F2 score, which outperforms the methods that participated in the sub-challenge of MICCAI.
中文翻译:
在结肠镜检查视频中使用CNN进行息肉检测
息肉是在结肠内表面生长的一组细胞。随着时间的流逝,一些息肉会导致结肠癌,如果在后期发现,通常会致命。如果在息肉的早期发现并去除息肉,就可以预防结肠癌。结肠镜检查是一种去除息肉的非常有效的筛查方法,可在很大程度上预防结肠癌。但是,由于人为错误,在结肠镜检查期间可能未检测到某些息肉。在过去的二十年中,已经进行了许多有关计算机辅助检测的研究,以减少息肉的遗漏率。这项研究包括两个不同的部分,包含息肉和息肉分割的帧的检测。在第一部分中,提出了一种基于VGG网络的新卷积神经网络。建议的网络在新收集的数据集上的准确性为86%。在息肉分割部分,提出了一个全卷积网络和有效的后处理算法。在ETIS-LARIB数据库上对拟议的息肉分割系统进行的评估获得了82.00%的F2总体得分,这优于参与MICCAI子挑战的方法。
更新日期:2020-08-20
中文翻译:
在结肠镜检查视频中使用CNN进行息肉检测
息肉是在结肠内表面生长的一组细胞。随着时间的流逝,一些息肉会导致结肠癌,如果在后期发现,通常会致命。如果在息肉的早期发现并去除息肉,就可以预防结肠癌。结肠镜检查是一种去除息肉的非常有效的筛查方法,可在很大程度上预防结肠癌。但是,由于人为错误,在结肠镜检查期间可能未检测到某些息肉。在过去的二十年中,已经进行了许多有关计算机辅助检测的研究,以减少息肉的遗漏率。这项研究包括两个不同的部分,包含息肉和息肉分割的帧的检测。在第一部分中,提出了一种基于VGG网络的新卷积神经网络。建议的网络在新收集的数据集上的准确性为86%。在息肉分割部分,提出了一个全卷积网络和有效的后处理算法。在ETIS-LARIB数据库上对拟议的息肉分割系统进行的评估获得了82.00%的F2总体得分,这优于参与MICCAI子挑战的方法。