52 16 archive 7774 disk0/00/00/00/52 2016-07-27 14:31:42 2023-07-24 12:54:04 2016-07-27 14:31:42 data_collection show Zhang Yan pub H 2023sub_E_C_M_P 2D and 3D image segmentation, active contour/surface, fast marching algorithm, AOS, Chan-Vese, geodesic and hybrid active contour, image processing, implicit method, level set, PDE, snake, Matlab toolbox Features of the toolbox: (1) The toolbox includes classic level-set methods such as geodesic active contours (GAC), Chan-Vese model and a hybrid model combining the boundary and regional terms. (2) All the methods are implemented with the semi-implicit solver AOS which can guarantee the stability of the numerical methods even with very large time steps, thus boosting the efficiency for level-set based segmentation. (3) All the methods can be applied to 2D and 3D data. MathWorks http://uk.mathworks.com/matlabcentral/fileexchange/24998-2d-3d-image-segmentation-toolbox?s_tid=srchtitle collection MEURATH, EP/D077540/1 Engineering and Physical Sciences Research Council ECSON, EP/F013698/1 Engineering and Physical Sciences Research Council RG_004 rdmsupport@uclan.ac.uk http://uk.mathworks.com/matlabcentral/fileexchange/24998-2d-3d-image-segmentation-toolbox?s_tid=srchtitle Principal Investigator Matuszewski Bogdan BMatuszewski1@uclan.ac.uk pub 10.1109/MediVis.2008.12 DOI http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4618616&tag=1 If a use of the toolbox leads to a publication, the related paper, 'Medical Image Segmentation Using New Hybrid Level-Set Method', should be cited. 2009 2013