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- Document type:
- Konferenzbeitrag
- Contribution type:
- Poster
- Author(s):
- Milletari, F.; Yigitsoy, M.; Navab, N.; Ahmadi, A.
- Title:
- Left Ventricle Segmentation in Cardiac Ultrasound Using Hough-Forests With Implicit Shape and Appearance Priors
- Abstract:
- We propose a learning based approach to perform automatic segmentation of the left ventricle in 3D cardiac ultrasound images. The segmentation contour is estimated through the use of a variant of Hough forests whose object localization capabilities are coupled with a patchwise, appearance driven, contour estimation strategy. The performance of the proposed method is evaluated on a dataset of 30 images acquired from 15 patients using different equipment and settings.
- Keywords:
- CAMP,MICCAI,Seg,Ultrasound
- Book / Congress title:
- MICCAI Challenge on Endocardial Three-dimensional Ultrasound Segmentation (CETUS)
- Publisher address:
- Boston, MA
- Year:
- 2014
- Notes:
- Open attachment browser
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