Seguí Santi, Drozdzal Michal, Zaytseva Ekaterina, Malagelada Carolina, Azpiroz Fernando, Radeva Petia, Vitrià Jordi
IEEE J Biomed Health Inform. 2014 Nov;18(6):1831-8. doi: 10.1109/JBHI.2014.2304179.
Intestinal contractions are one of the most important events to diagnose motility pathologies of the small intestine. When visualized by wireless capsule endoscopy (WCE), the sequence of frames that represents a contraction is characterized by a clear wrinkle structure in the central frames that corresponds to the folding of the intestinal wall. In this paper, we present a new method to robustly detect wrinkle frames in full WCE videos by using a new mid-level image descriptor that is based on a centrality measure proposed for graphs. We present an extended validation, carried out in a very large database, that shows that the proposed method achieves state-of-the-art performance for this task.
肠道收缩是诊断小肠动力障碍最重要的事件之一。当通过无线胶囊内镜（WCE）进行可视化时，代表一次收缩的一系列帧的特征是中间帧中具有清晰的皱纹结构，这与肠壁的折叠相对应。在本文中，我们提出了一种新方法，通过使用基于为图提出的中心性度量的新中级图像描述符，在完整的WCE视频中稳健地检测皱纹帧。我们在一个非常大的数据库中进行了扩展验证，结果表明所提出的方法在这项任务中达到了当前的先进性能。
