ML Anthology

Interactive Left Ventricular Segmentation in Cardiac Images

Wendeson da Silva Oliveira, Ângela Vilhena Dias
ICCV 2007 pp. 1-6
doi:10.1109/ICCV.2007.4409118 /iccv/2007/dasilvaoliveira2007iccv-interactive/

Abstract

This work presents a technique to perform segmentation of the left ventricle in images of the human myocardium. Segmentation is one of the first steps of the image analysis. Edge-based segmentation provides the detection of region boundaries, but the contours are only based on local computations, and is often sensitive to local variations in intensity, noise and physical artifacts. In interactive methods, problems like these fatigue the user and require many interventions at the contour delineation process. To reduce these problems, we propose the addition of two new features in the Live-Wire method: a region intensity and a proximity feature. Experimental results show that this alternative approach can achieve accurate edge localization and improved efficiency.

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Cite

Text

da Silva Oliveira and Dias. "Interactive Left Ventricular Segmentation in Cardiac Images." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4409118

Markdown

[da Silva Oliveira and Dias. "Interactive Left Ventricular Segmentation in Cardiac Images." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/dasilvaoliveira2007iccv-interactive/) doi:10.1109/ICCV.2007.4409118

BibTeX

@inproceedings{dasilvaoliveira2007iccv-interactive,
  title     = {{Interactive Left Ventricular Segmentation in Cardiac Images}},
  author    = {da Silva Oliveira, Wendeson and Dias, Ângela Vilhena},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2007},
  pages     = {1-6},
  doi       = {10.1109/ICCV.2007.4409118},
  url       = {https://mlanthology.org/iccv/2007/dasilvaoliveira2007iccv-interactive/}
}