Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
暂无分享,去创建一个
Martin Styner | Jacob D. Furst | Thomas Lange | Benoit M. Dawant | Brian Lennon | Fernando Bello | Horst Bischof | Hans-Peter Meinzer | Bram van Ginneken | Ivo Wolf | Joachim Hornegger | Akinobu Shimizu | Hidefumi Kobatake | Christoph Becker | Yulia Arzhaeva | Gábor Németh | Daniela Stan Raicu | Alexander Bornik | Jeongjin Lee | Eva M. van Rikxoort | Richard Kitney | Tobias Heimann | László Ruskó | Hans Lamecker | Reinhard Beichel | Erich Sorantin | Andreas Wimmer | Lars Grenacher | Volker Aurich | Mikaël Rousson | Christian Bauer | Gerd Karl Binnig | Grzegorz Soza | Ying Chi | Rui Li | Günter Schmidt | Dieter Seghers | Senhu Li | Andrés Cordova | Ruchaneewan Susomboon | Andreas Beck | Dagmar Kainmüller | Anne-Mareike Rau | Daisuke Furukawa | Márta Fidrich | Pieter Slagmolen | Jonathan M. Waite | György Bekes | Kinda Anna Saddi | Peter Cashman | B. Dawant | H. Bischof | G. Binnig | M. Rousson | Y. Arzhaeva | B. Ginneken | T. Heimann | M. Styner | E. Sorantin | J. Hornegger | H. Meinzer | I. Wolf | H. Lamecker | T. Lange | R. Kitney | J. Furst | Rui Li | G. Soza | A. Shimizu | Ying Chi | D. Raicu | K. A. Saddi | L. Ruskó | György Bekes | G. Németh | M. Fidrich | Ruchaneewan Susomboon | A. Beck | V. Aurich | Jeongjin Lee | H. Kobatake | F. Bello | G. Schmidt | R. Beichel | L. Grenacher | Christian Bauer | E. M. Rikxoort | Dagmar Kainmüller | P. Slagmolen | A. Wimmer | Senhu Li | Christoph Becker | P. Cashman | D. Seghers | D. Furukawa | A. Bornik | A. Cordova | B. Lennon | Anne-Mareike Rau | Mikaël Rousson
[1] Konstantina S. Nikita,et al. A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier , 2003, IEEE Transactions on Information Technology in Biomedicine.
[2] Dieter Schmalstieg,et al. Interactive editing of segmented volumetric datasets in a hybrid 2D/3D virtual environment , 2006, VRST '06.
[3] Daniel Rueckert,et al. Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.
[4] R P Velthuizen,et al. MRI segmentation: methods and applications. , 1995, Magnetic resonance imaging.
[5] William M. Wells,et al. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation , 2004, IEEE Transactions on Medical Imaging.
[6] Horst Bischof,et al. Liver Segmentation in CT Data: A Segmentation Refinement Approach , 2007 .
[7] Kunio Doi,et al. Automated detection of pulmonary nodules in helical computed tomography images of the thorax , 1998, Medical Imaging.
[8] E. Hoffman,et al. Lung image database consortium: developing a resource for the medical imaging research community. , 2004, Radiology.
[9] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[10] Maria Athelogou,et al. Cognition Network Technology for a Fully Automated 3D Segmentation of Liver , 2007 .
[11] G. McLachlan,et al. The EM algorithm and extensions , 1996 .
[12] Volker Aurich,et al. HepaTux - A Semiautomatic Liver Segmentation System , 2007 .
[13] Klaus D. Tönnies,et al. Segmentation of medical images using adaptive region growing , 2001, SPIE Medical Imaging.
[14] H. Peitgen,et al. Computer-Assisted Operative Planning in Adult Living Donor Liver Transplantation: A New Way to Resolve the Dilemma of the Middle Hepatic Vein , 2005, World Journal of Surgery.
[15] Guy Marchal,et al. Multi-modality image registration by maximization of mutual information , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.
[16] Thomas Lange,et al. Shape Constrained Automatic Segmentation of the Liver based on a Heuristic Intensity Model , 2007 .
[17] Hans-Peter Meinzer,et al. Computerized planning of liver surgery - an overview , 2002, Comput. Graph..
[18] Josef Kittler,et al. Moderating k-NN Classifiers , 2002, Pattern Analysis & Applications.
[19] Marko Subasic,et al. Level Set Methods and Fast Marching Methods , 2003 .
[20] P. Jaccard,et al. Etude comparative de la distribution florale dans une portion des Alpes et des Jura , 1901 .
[21] Paul Suetens,et al. Landmark based liver segmentation using local shape and local intensity models , 2007 .
[22] Bram van Ginneken,et al. Automatic segmentation of the liver in computed tomography scans with voxel classification and atlas matching , 2007 .
[23] Guido Gerig,et al. Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation , 2001, MICCAI.
[24] Dieter Schmalstieg,et al. A Hybrid User Interface for Manipulation of Volumetric Medical Data , 2006, 3D User Interfaces (3DUI'06).
[25] Fernando Bello,et al. A Discussion on the Evaluation of A New Automatic Liver Volume Segmentation Method for Specified CT Image Datasets , 2007 .
[26] Joachim Hornegger,et al. Two-stage Semi-automatic Organ Segmentation Framework using Radial Basis Functions and Level Sets , 2007 .
[27] Edward Chaney,et al. Methods for image segmentation should be standardized and calibrated. , 2005, Medical physics.
[28] Baba C. Vemuri,et al. Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[29] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[30] Ross T. Whitaker,et al. Variable-conductance, level-set curvature for image denoising , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[31] Martin Styner,et al. Multi-site validation of image analysis methods - Assessing intra and inter-site variability , 2002 .
[32] W. Eric L. Grimson,et al. A shape-based approach to the segmentation of medical imagery using level sets , 2003, IEEE Transactions on Medical Imaging.
[33] G. McLachlan,et al. The EM Algorithm and Extensions: Second Edition , 2008 .
[34] Guy Marchal,et al. Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.
[35] Daniel Cremers,et al. Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation , 2005, MICCAI.
[36] Sean R Eddy,et al. What is dynamic programming? , 2004, Nature Biotechnology.
[37] David R. Haynor,et al. PET-CT image registration in the chest using free-form deformations , 2003, IEEE Transactions on Medical Imaging.
[38] Richard K. Beatson,et al. Reconstruction and representation of 3D objects with radial basis functions , 2001, SIGGRAPH.
[39] Hans-Peter Meinzer,et al. A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation , 2007, IPMI.
[40] Y. J. Zhang,et al. A survey on evaluation methods for image segmentation , 1996, Pattern Recognit..
[41] Joon Beom Seo,et al. Ecient Liver Segmentation exploiting Level-Set Speed Images with 2.5D Shape Propagation , 2007 .
[42] Hans-Paul Schwefel,et al. Evolution and optimum seeking , 1995, Sixth-generation computer technology series.
[43] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[44] Hans-Peter Meinzer,et al. New methods for leak detection and contour correction in seeded region growing segmentation , 2004 .
[45] E-Liang Chen,et al. An automatic diagnostic system for CT liver image classification , 1998, IEEE Transactions on Biomedical Engineering.
[46] F. Cheriet,et al. Global-to-Local Shape Matching for Liver Segmentation in CT Imaging , 2007 .
[47] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[48] Martha Elizabeth Shenton,et al. On evaluating brain tissue classifiers without a ground truth , 2007, NeuroImage.
[49] Hans-Peter Meinzer,et al. A Statistical Deformable Model for the Segmentation of Liver CT Volumes , 2007 .
[50] Guido Gerig,et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.
[51] T Heimann,et al. Automatic Generation of 3D Statistical Shape Models with Optimal Landmark Distributions , 2007, Methods of Information in Medicine.
[52] Xiaodong Wu,et al. Simultaneous Segmentation of Multiple Closed Surfaces Using Optimal Graph Searching , 2005, IPMI.
[53] L. Ruskó,et al. Fully automatic liver segmentation for contrast-enhanced CT images , 2007 .
[54] James A. Sethian,et al. Level Set Methods and Fast Marching Methods , 1999 .
[55] Timothy F. Cootes,et al. Use of active shape models for locating structures in medical images , 1994, Image Vis. Comput..
[56] Daniel P. Huttenlocher,et al. Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[57] Gareth Funka-Lea,et al. Graph Cuts and Efficient N-D Image Segmentation , 2006, International Journal of Computer Vision.
[58] Frederik Maes,et al. Atlas based liver segmentation using nonrigid registration with a B-spline transformation model , 2007 .
[59] J. Furst,et al. A Hybrid Approach for Liver Segmentation , 2007 .
[60] Timothy F. Cootes,et al. The Use of Active Shape Models for Locating Structures in Medical Images , 1993, IPMI.
[61] Max A. Viergever,et al. Error Metrics for Quantitative Evaluation of Medical Image Segmentation , 1998, Theoretical Foundations of Computer Vision.
[62] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[63] Keith Price,et al. Anything you can do, I can do better (No you can't) , 1986, Comput. Vis. Graph. Image Process..
[64] Kai Hormann,et al. Surface Parameterization: a Tutorial and Survey , 2005, Advances in Multiresolution for Geometric Modelling.
[65] Isabelle Bloch,et al. Mathematical Morphology , 2007, Handbook of Spatial Logics.
[66] Lawrence J. Fogel,et al. Artificial Intelligence through Simulated Evolution , 1966 .
[67] Akinobu Shimizu,et al. Automatic Liver Segmentation Method based on Maximum A Posterior Probability Estimation and Level Set Method , 2007 .
[68] Johan Montagnat,et al. Fully Automatic Anatomical, Pathological, and Functional Segmentation from CT Scans for Hepatic Surgery , 2000, Medical Imaging: Image Processing.
[69] Sunil Arya,et al. An optimal algorithm for approximate nearest neighbor searching fixed dimensions , 1998, JACM.
[70] S. Osher,et al. Geometric Level Set Methods in Imaging, Vision, and Graphics , 2011, Springer New York.
[71] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[72] Akinobu Shimizu,et al. Preliminary report of competition for liver region extraction algorithms from three-dimensional CT images , 2004, CARS.
[73] Max A. Viergever,et al. Efficient and reliable schemes for nonlinear diffusion filtering , 1998, IEEE Trans. Image Process..
[74] Akinobu Shimizu,et al. Segmentation of multiple organs in non-contrast 3D abdominal CT images , 2007, International Journal of Computer Assisted Radiology and Surgery.
[75] Neil A. Dodgson,et al. Advances in Multiresolution for Geometric Modelling , 2005 .
[76] Michael I. Miller,et al. Deformable templates using large deformation kinematics , 1996, IEEE Trans. Image Process..
[77] Benoit M. Dawant,et al. Semi-automatic Segmentation of the Liver and its Evaluation on the MICCAI 2007 Grand Challenge Data Set , 2007 .
[78] Hyunjin Park,et al. Construction of an abdominal probabilistic atlas and its application in segmentation , 2003, IEEE Transactions on Medical Imaging.
[79] Benoit M. Dawant,et al. Automatic 3D segmentation of the liver from abdominal CT images: a level-set approach , 2001, SPIE Medical Imaging.
[80] Torsten Rohlfing,et al. Quo Vadis, Atlas-Based Segmentation? , 2005 .