3D自动结肠分割有效的息肉检测

2012 Cairo International Biomedical Engineering Conference (CIBEC) Pub Date : 2012-12-01 DOI:10.1109/CIBEC.2012.6473334

M. Ismail, S. Elhabian, A. Farag, G. Dryden, A. Seow

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引用次数: 4

摘要

由于息肉是结直肠癌的主要病因，在虚拟结肠镜系统中，准确的结肠分割是息肉检测的关键步骤。本文提出了一种基于活动轮廓模型的凸公式的冒号全自动分割框架。我们的方法在7组上进行了测试，结果进一步验证了息肉检测的有效性。结果表明，该框架的总体准确率为99%，对息肉的检测具有较高的灵敏度。

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3D automated colon segmentation for efficient polyp detection

With polyps being the main cause of colorectal cancer, accurate colon segmentation is a crucial step for polyp detection in a virtual colonoscopy system. This paper presents a fully automated segmentation framework for the colon which is based on convex formulation of the active contour model. Our approach is tested on 7 sets where the results are further validated for polyp detection. Results show the efficiency of the framework with an overall accuracy of 99%, and high sensitivity of polyp detection.

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2012 Cairo International Biomedical Engineering Conference (CIBEC)

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