首页> 外文会议>2012 19th Iranian Conference of Biomedical Engineering >Polyp detection in Wireless Capsule Endoscopy images by using region-based active contour model
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Polyp detection in Wireless Capsule Endoscopy images by using region-based active contour model

机译:基于区域的主动轮廓模型在无线胶囊内窥镜图像中进行息肉检测

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Wireless Capsule Endoscopy (WCE) is an almost new technology to capture images from the whole of Gastrointestinal (GI) tract, noninvasively. WCE is a very useful technology to detect various abnormalities like blood based abnormalities, ulcers and polyps. We note that polyps are growing tissues occur on the surface of tissue instead of inside an organ. Most polyps are not cancerous but if one becomes larger than a centimeter, it can turn into cancer by great chance. So, one of the most important advantages of WCE can be the early detection of polyps and cancers. In this paper we proposed using region-based Active Contour Method (ACM) and geometric feature for automatic detection of polyps. The results on a set of images show that the proposed method can achieve %90.91 accuracy, %100 sensitivity and %83.33 specificity on our data set.
机译:无线胶囊内窥镜检查(WCE)是一项几乎全新的技术,可以无创地从整个胃肠道(GI)捕获图像。 WCE是一种非常有用的技术,可以检测各种异常,例如基于血液的异常,溃疡和息肉。我们注意到息肉是生长的组织,它发生在组织表面而不是器官内部。大多数息肉没有癌变,但如果息肉变大超过一厘米,很可能会变成癌症。因此,WCE的最重要优势之一可以是息肉和癌症的早期检测。在本文中,我们提出使用基于区域的主动轮廓法(ACM)和几何特征来自动检测息肉。在一组图像上的结果表明,该方法在我们的数据集上可以达到%90.91的准确度,%100的灵敏度和%83.33的特异性。

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