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May 25, 2010 · In this paper, we propose a self-assessed adaptive region growing segmentation algorithm. In the context of an experimental virtual-reality ...
Abstract In this paper we propose a self-assessed adaptive region growing segmentation algorithm. In the context of an experimental virtual-reality surgical ...
In this paper, we propose a self-assessed adaptive region growing segmentation algorithm. In the context of an experimental virtual-reality surgical planning ...
To improve the planning of hepatic surgery, we have developed a fully automatic anatomical, pathological, and functional segmentation of the liver derived from ...
This page is a summary of: Fast parameter-free region growing segmentation with application to surgical planning , Machine Vision and Applications, May 2010, ...
In this paper, we propose a self-assessed adaptive region growing segmentation algorithm. In the context of an experimental virtual-reality surgical planning ...
Sep 22, 2024 · Fast parameter-free region growing segmentation with application to surgical planning, MVA(23), No. 1, January 2012, pp. 165-177. WWW Link ...
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This paper proposes an optimal region growing threshold for the segmentation of magnetic resonance images (MRIs). The proposed algorithm combines local search ...
In this paper, we present a new RG algorithm called 'probabilistic region growing (PRG) method' in order to improve the medical image segmentation. The PRG is ...
Oct 22, 2024 · This paper proposes an optimal region growing threshold for the segmentation of magnetic resonance images (MRIs).