A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Modeling with Front Propagation: A Level Set Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Picture Processing
Volumetric medical images segmentation using shape constrained deformable models
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Efficient Semiautomatic Segmentation of 3D Objects in Medical Images
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Phase-Based User-Steered Image Segmentation
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of the liver using the deformable contour method on CT images
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
IEEE Transactions on Information Technology in Biomedicine
Guest editorial: Computational intelligence and machine learning in bioinformatics
Artificial Intelligence in Medicine
A segmentation framework for abdominal organs from CT scans
Artificial Intelligence in Medicine
Cytoplasm contour approximation based on color fuzzy sets and color gradient
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Interactive segmentation of 3D images using a region adjacency graph representation
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Region-based segmentation of 2D and 3D images with tissue-like P systems
Pattern Recognition Letters
Survey on liver CT image segmentation methods
Artificial Intelligence Review
Liver segmentation in CT images for intervention using a graph-cut based model
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
Virtual volume resection using multi-resolution triangular representation of B-spline surfaces
Computer Methods and Programs in Biomedicine
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Objective: In the recent years liver segmentation from computed tomography scans has gained a lot of importance in the field of medical image processing since it is the first and fundamental step of any automated technique for the automatic liver disease diagnosis, liver volume measurement, and 3D liver volume rendering. Methods: In this paper we report a review study about the semi-automatic and automatic liver segmentation techniques, and we describe our fully automatized method. Results: The survey reveals that automatic liver segmentation is still an open problem since various weaknesses and drawbacks of the proposed works must still be addressed. Our gray-level based liver segmentation method has been developed to tackle all these problems; when tested on 40 patients it achieves satisfactory results, comparable to the mean intra- and inter-observer variation. Conclusions: We believe that our technique outperforms those presented in the literature; nevertheless, a common test set with its gold standard traced by experts, and a generally accepted performance measure are required to demonstrate it.