Fully Automated 3D Colon Segmentation for Early Detection of Colorectal Cancer Based on Convex Formulation of the Active Contour Model

Ismail, Marwa; Elhabian, Shireen Y.; Farag, Aly A.; Dryden, Gerald W.; Seow, Albert

doi:10.1109/CVPRW.2012.6239248

Fully Automated 3D Colon Segmentation for Early Detection of Colorectal Cancer Based on Convex Formulation of the Active Contour Model

Marwa Ismail, Shireen Y. Elhabian, Aly A. Farag, Gerald W. Dryden, Albert Seow

CVPRW 2012 pp. 58-63

doi:10.1109/CVPRW.2012.6239248 /cvprw/2012/ismail2012cvprw-fully/

Abstract

Accurate colon segmentation would play a vital role in a virtual colonoscopy system, amounting for reliable polyp detection; a colon cancer indicator. In this paper, we propose a fully automated framework for 3D colon segmentation based on the global/convex continuous minimization of the active contour model in 3D space. For optimal results, 3D region growing and some colon anatomical features, e.g. size, persistence and curvature have been incorporated for post processing. The proposed framework, applied on 12 colon data sets, is compared with graph cuts (discrete optimization) and adaptive level sets (non-convex continuous optimization). Our results outperform the other two in different aspects including speed of convergence, sensitivity and specificity with overall accuracy of 99%.

CVPRW Semantic Scholar

Cite

Text

Ismail et al. "Fully Automated 3D Colon Segmentation for Early Detection of Colorectal Cancer Based on Convex Formulation of the Active Contour Model." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2012. doi:10.1109/CVPRW.2012.6239248

Markdown

[Ismail et al. "Fully Automated 3D Colon Segmentation for Early Detection of Colorectal Cancer Based on Convex Formulation of the Active Contour Model." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2012.](https://mlanthology.org/cvprw/2012/ismail2012cvprw-fully/) doi:10.1109/CVPRW.2012.6239248

BibTeX

@inproceedings{ismail2012cvprw-fully,
  title     = {{Fully Automated 3D Colon Segmentation for Early Detection of Colorectal Cancer Based on Convex Formulation of the Active Contour Model}},
  author    = {Ismail, Marwa and Elhabian, Shireen Y. and Farag, Aly A. and Dryden, Gerald W. and Seow, Albert},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2012},
  pages     = {58-63},
  doi       = {10.1109/CVPRW.2012.6239248},
  url       = {https://mlanthology.org/cvprw/2012/ismail2012cvprw-fully/}
}