Towards automatic polyp detection with a polyp appearance model
Towards automatic polyp detection with a polyp appearance model
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DOI：
10.1016/j.patcog.2012.03.002
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发表时间：
2012-09-01
影响因子：
8
通讯作者：
Vilarino, F.
中科院分区：
文献类型：
--
作者：
Bernal, J.;Sanchez, J.;Vilarino, F.
这项工作旨在通过在结肠镜检查视频分析的背景下使用息肉外观模型来自动检测息肉。我们的方法由三个阶段组成：区域分割、区域描述和区域分类。我们的区域分割方法的性能保证了如果图像中存在息肉，它将完全且完全包含在单个区域中。该算法的输出还定义了哪些区域可以被视为非信息性区域。我们将新的扇形累积-谷深累积（SA-DOVA）定义为我们的区域描述符，它为息肉的存在提供了必要但不充分的条件。最后，我们根据 SA-DOVA 描述符的最大值对分割区域进行分类。我们的初步分类结果很有希望，特别是在对图像中不包含息肉的部分进行分类时。 (C) 2012 Elsevier Ltd. 保留所有权利。
This work aims at automatic polyp detection by using a model of polyp appearance in the context of the analysis of colonoscopy videos. Our method consists of three stages: region segmentation, region description and region classification. The performance of our region segmentation method guarantees that if a polyp is present in the image, it will be exclusively and totally contained in a single region. The output of the algorithm also defines which regions can be considered as non-informative. We define as our region descriptor the novel Sector Accumulation-Depth of Valleys Accumulation (SA-DOVA), which provides a necessary but not sufficient condition for the polyp presence. Finally, we classify our segmented regions according to the maximal values of the SA-DOVA descriptor. Our preliminary classification results are promising, especially when classifying those parts of the image that do not contain a polyp inside. (C) 2012 Elsevier Ltd. All rights reserved.