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See also Platelets: a multiscale approach for recovering edges and surfaces in photon-limited medical imaging.
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1003
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Earlier:
A non-parametric model for partial volume segmentation of MR images,
BMVC05(xx-yy).
HTML Version.
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For MRI data
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Chen, Y.T.[Yao-Tien],
A level set method based on the Bayesian risk for medical image
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Elsevier DOI
1008
Level set method; Bayesian risk; Hypothesis test; Prior probability;
Kullback-Leibler information number
BibRef
Li, C.M.[Chun-Ming],
Xu, C.Y.[Chen-Yang],
Gui, C.F.[Chang-Feng],
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Distance Regularized Level Set Evolution and Its Application to Image
Segmentation,
IP(19), No. 12, December 2010, pp. 3243-3254.
IEEE DOI
1011
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And: Correction
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IEEE DOI
1101
BibRef
Earlier:
Level Set Evolution without Re-Initialization:
A New Variational Formulation,
CVPR05(I: 430-436).
IEEE DOI
0507
See also Segmentation of external force field for automatic initialization and splitting of snakes.
BibRef
Li, C.M.[Chun-Ming],
Xu, C.Y.[Chen-Yang],
Konwar, K.M.,
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Fast Distance Preserving Level Set Evolution for Medical Image
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ICARCV06(1-7).
IEEE DOI
0612
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Li, C.M.[Chun-Ming],
Huang, R.[Rui],
Ding, Z.H.[Zhao-Hua],
Gatenby, J.C.,
Metaxas, D.N.,
Gore, J.C.,
A Level Set Method for Image Segmentation in the Presence of Intensity
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IP(20), No. 7, July 2011, pp. 2007-2016.
IEEE DOI
1107
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Zhou, J.[Juan],
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Yang, J.[Jie],
Li, C.M.[Chun-Ming],
Moment based level set method for image segmentation,
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0810
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Yang, Y.Y.[Yun-Yun],
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Level set formulation for automatic medical image segmentation based
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Elsevier DOI
2007
Medical image segmentation, Fuzzy clustering,
split Bregman method, Level set method, Dynamic constrained term
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Li, H.F.[Heng-Fan],
Hong, X.W.[Xin-Wei],
Huang, G.H.[Guo-Hua],
Xu, X.[Xuanbo],
Xia, Q.F.[Qing-Feng],
Uncertainty-Guided Different Levels of Pseudolabels for
Semisupervised Medical Image Segmentation,
MultMedMag(31), No. 1, January 2024, pp. 42-53.
IEEE DOI
2404
Uncertainty, Reliability, Predictive models, Biomedical imaging,
Image segmentation, Noise measurement, Training, Labeling
BibRef
Ly, T.,
Thompson, J.,
Harris, T.,
Acton, S.T.,
The Coupled Tuff-Bff Algorithm for Automatic 3D Segmentation of
Microglia,
ICIP18(121-125)
IEEE DOI
1809
Image segmentation, Level set, Mice,
Microscopy, Morphology, Indexes, microglia, 3D segmentation,
level set, active contour
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Soomro, S.,
Choi, K.N.,
Robust active contours for mammogram image segmentation,
ICIP17(2149-2153)
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1803
Active contours, Databases, Image segmentation, Level set,
Mammography, Solid modeling, Tumors, Active contours,
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Wang, C.,
Bao, J.,
Bu, H.,
Gland segmentation guided by glandular structures:
A level set framework with two levels,
ICIP17(2154-2158)
IEEE DOI
1803
Glands, Image segmentation, Level set, Mathematical model,
Medical services, Shape, Standards, endometrial gland,
level set
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Wang, J.,
Sarkar, R.,
Aziz, A.,
Vaccari, A.,
Gahlmann, A.,
Acton, S.T.,
Bact-3D: A level set segmentation approach for dense multi-layered 3D
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ICIP17(330-334)
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1803
Image resolution, Image segmentation, Imaging, Kernel, Level set,
Microorganisms, 3D, super-resolution
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Dai, S.,
Man, H.[Hong],
Zhan, S.,
A Bregman divergence based Level Set Evolution for efficient medical
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ICPR16(1113-1118)
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1705
Biomedical imaging, Image segmentation, Lagrangian functions,
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Wang, G.[Gang],
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Liang, J.M.[Jian-Ming],
A Novel Hybrid Segmentation Method for Medical Images Based on Level
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0910
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Huang, H.[Hui],
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Laplacian Operator Based Level Set Segmentation Algorithm for Medical
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CISP09(1-5).
IEEE DOI
0910
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Qin, X.J.[Xu-Jia],
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New medical image sequences segmentation based on level set method,
IASP09(22-27).
IEEE DOI
0904
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Yang, Y.[Yong],
A Robust Region Based Level Set Framework for Medical Image
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CIARP06(336-344).
Springer DOI
0611
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Cheng, L.S.[Li-Shui],
Fan, X.[Xian],
Yang, J.[Jie],
Zhu, Y.[Yun],
A Generalized Level Set Formulation of the Mumford-Shah Functional with
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Schupp, S.,
Fast statistical level sets image segmentation for biomedical
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ScaleSpace01(xx-yy).
0106
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Debreuve, E.,
Barlaud, M.[Michel],
Aubert, G.[Gilles],
Darcourt, J.,
Attenuation map segmentation without reconstruction using a level set
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ICIP98(I: 34-38).
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9810
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Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Snakes, Restricted Curves, Splines, etc. .