3D Automated Colon Segmentation for Efficient Polyp Detection

被引：0

作者：

Ismail, Marwa ^{[1
]}

Elhabian, Shireen ^{[1
]}

Farag, Aly ^{[1
]}

Dryden, Gerald ^{[1
]}

Seow, Albert ^{[1
]}

机构：

[1] Univ Louisville, Louisville, KY 40292 USA

来源：

2012 CAIRO INTERNATIONAL BIOMEDICAL ENGINEERING CONFERENCE (CIBEC) | 2012年

关键词：

Mumford-Shah; convexification; polyps; shape index; region growing; haustral folds;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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.

引用

收藏

页码：48 / 51

页数：4

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