8.7.3.2 Level Sets, Medical Image Segmentation

Chapter Contents (Back)
Level Set. Medical Images. See also Level Set Segmentation, Level Set Methods.

Deng, J.W.[Jiang-Wen], Tsui, H.T.,
A fast level set method for segmentation of low contrast noisy biomedical images,
PRL(23), No. 1-3, January 2002, pp. 161-169.
Elsevier DOI 0201
BibRef

Tsai, A., Yezzi, A.J., Wells, III, W.M.[William M.], Tempany, C., Tucker, D., Fan, A., Grimson, W.E.L., Willsky, A.S.,
A shape-based approach to the segmentation of medical imagery using level sets,
MedImg(22), No. 2, February 2003, pp. 137-154.
IEEE Top Reference.
PDF File. 0304
BibRef

Willett, R.M., Nowak, R.D.,
Minimax Optimal Level-Set Estimation,
IP(16), No. 12, December 2007, pp. 2965-2979.
IEEE DOI 0711
See also Platelets: a multiscale approach for recovering edges and surfaces in photon-limited medical imaging. BibRef

Joshi, N.B.[Niranjan B.], Brady, M.[Michael],
Non-Parametric Mixture Model Based Evolution of Level Sets and Application to Medical Images,
IJCV(88), No. 1, May 2010, pp. xx-yy.
Springer DOI 1003
BibRef
Earlier:
A non-parametric model for partial volume segmentation of MR images,
BMVC05(xx-yy).
HTML Version. 0509
For MRI data BibRef

Chen, Y.T.[Yao-Tien],
A level set method based on the Bayesian risk for medical image segmentation,
PR(43), No. 11, November 2010, pp. 3699-3711.
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], Fox, M.D.[Martin D.],
Distance Regularized Level Set Evolution and Its Application to Image Segmentation,
IP(19), No. 12, December 2010, pp. 3243-3254.
IEEE DOI 1011
BibRef
And: Correction IP(20), No. 1, January 2011, pp. 299.
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., Fox, M.D.[Martin D.],
Fast Distance Preserving Level Set Evolution for Medical Image Segmentation,
ICARCV06(1-7).
IEEE DOI 0612
BibRef

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 Inhomogeneities With Application to MRI,
IP(20), No. 7, July 2011, pp. 2007-2016.
IEEE DOI 1107
BibRef

Zhou, J.[Juan], Yao, L.X.[Li-Xiu], Yang, J.[Jie], Li, C.M.[Chun-Ming],
Moment based level set method for image segmentation,
ICIP08(1069-1072).
IEEE DOI 0810
BibRef


Dai, S., Man, H.[Hong], Zhan, S.,
A Bregman divergence based Level Set Evolution for efficient medical image segmentation,
ICPR16(1113-1118)
IEEE DOI 1705
Biomedical imaging, Image segmentation, Lagrangian functions, Level set, Mathematical model, Minimization, Optimization BibRef

Wang, G.[Gang], Liu, H.J.[Hui-Juan], Zhang, S.[Shi], Liang, J.M.[Jian-Ming],
A Novel Hybrid Segmentation Method for Medical Images Based on Level Set,
CISP09(1-5).
IEEE DOI 0910
BibRef

Huang, H.[Hui], Jiang, J.H.[Jiong-Hui],
Laplacian Operator Based Level Set Segmentation Algorithm for Medical Images,
CISP09(1-5).
IEEE DOI 0910
BibRef

Qin, X.J.[Xu-Jia], Zhang, S.Q.[Su-Qiong],
New medical image sequences segmentation based on level set method,
IASP09(22-27).
IEEE DOI 0904
BibRef

Yang, Y.[Yong],
A Robust Region Based Level Set Framework for Medical Image Segmentation,
CIARP06(336-344).
Springer DOI 0611
BibRef

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 Shape Prior for Medical Image Segmentation,
CVBIA05(61-71).
Springer DOI 0601
BibRef

Schupp, S.,
Fast statistical level sets image segmentation for biomedical applications,
ScaleSpace01(xx-yy). 0106
BibRef

Debreuve, E., Barlaud, M.[Michel], Aubert, G.[Gilles], Darcourt, J.,
Attenuation map segmentation without reconstruction using a level set method in nuclear medicine imaging,
ICIP98(I: 34-38).
IEEE DOI 9810
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Snakes, Restricted Curves, Splines, etc. .


Last update:Dec 7, 2017 at 17:23:10