Region competition based active contour for medical object extraction

Abstract In this paper, a probabilistic and level set model for three-dimensional medical object extraction is proposed, which is called region competition based active contour. The algorithms are derived by minimizing a region based probabilistic energy function and implemented in a level set frame...

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Veröffentlicht in:	Computerized medical imaging and graphics 2008-03, Vol.32 (2), p.109-117
Hauptverfasser:	Shang, Yanfeng, Yang, Xin, Zhu, Lei, Deklerck, Rudi, Nyssen, Edgard
Format:	Artikel
Sprache:	eng
Schlagworte:	Active contour Algorithms Artificial Intelligence Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Internal Medicine Level set Medical image Object extraction Other Pattern Recognition, Automated - methods Prior knowledge Region competition Reproducibility of Results Sensitivity and Specificity Snake model
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