A novel kernelized fuzzy C-means algorithm with application in medical image segmentation

Authors:
Dao-Qiang Zhang;Song-Can Chen
Affiliations:
Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China and National Laboratory of Pattern Recognition, Institute of Automation ...;Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China and National Laboratory of Pattern Recognition, Institute of Automation ...
Venue:
Artificial Intelligence in Medicine
Year:
2004

Citing 11
Cited 55

Nonlinear component analysis as a kernel eigenvalue problem

Neural Computation
An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities

Pattern Recognition Letters
An introduction to support Vector Machines: and other kernel-based learning methods

An introduction to support Vector Machines: and other kernel-based learning methods
Pattern Recognition with Fuzzy Objective Function Algorithms

Pattern Recognition with Fuzzy Objective Function Algorithms
An Extensible MRI Simulator for Post-Processing Evaluation

VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Towards a robust fuzzy clustering

Fuzzy Sets and Systems - Data analysis
Image segmentation by a fuzzy clustering algorithm using adaptive spatially constrained membership functions

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Robust clustering methods: a unified view

IEEE Transactions on Fuzzy Systems
Support vector machines for histogram-based image classification

IEEE Transactions on Neural Networks
An introduction to kernel-based learning algorithms

IEEE Transactions on Neural Networks
Mercer kernel-based clustering in feature space

IEEE Transactions on Neural Networks

Parameter selection for suppressed fuzzy c-means with an application to MRI segmentation

Pattern Recognition Letters
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation

Pattern Recognition
Automated segmentation and quantification of inflammatory tissue of the hand in rheumatoid arthritis patients using magnetic resonance imaging data

Artificial Intelligence in Medicine
A survey of kernel and spectral methods for clustering

Pattern Recognition
A novel fuzzy clustering algorithm for the analysis of axillary lymph node tissue sections

Applied Intelligence
Robust fuzzy relational classifier incorporating the soft class labels

Pattern Recognition Letters
A Modified Deterministic Annealing Algorithm for Robust Image Segmentation

Journal of Mathematical Imaging and Vision
Beyond FCM: Graph-theoretic post-processing algorithms for learning and representing the data structure

Pattern Recognition
MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach

Pattern Recognition Letters
A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction

Pattern Recognition Letters
Kernelized fuzzy attribute C-means clustering algorithm

Fuzzy Sets and Systems
DESIGN OF DECISION TREE VIA KERNELIZED HIERARCHICAL CLUSTERING FOR MULTICLASS SUPPORT VECTOR MACHINES

Cybernetics and Systems
Cancer classification using kernelized fuzzy C-means

FS'08 Proceedings of the 9th WSEAS International Conference on Fuzzy Systems
Noisy Image Segmentation by a Robust Clustering Algorithm Based on DC Programming and DCA

ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Visual MRI: Merging information visualization and non-parametric clustering techniques for MRI dataset analysis

Artificial Intelligence in Medicine
Novel modified fuzzy c-means algorithm with applications

Digital Signal Processing
Graph nodes clustering with the sigmoid commute-time kernel: A comparative study

Data & Knowledge Engineering
A simultaneous learning framework for clustering and classification

Pattern Recognition
A comparative study of individual and ensemble majority vote cDNA microarray image segmentation schemes, originating from a spot-adjustable based restoration framework

Computer Methods and Programs in Biomedicine
Fuzzy declustering-based vector quantization

Pattern Recognition
A kernelized fuzzy c-means algorithm for automatic magnetic resonance image segmentation

Journal of Computational Methods in Sciences and Engineering
Using hierarchical soft computing method to discriminate microcyte anemia

Expert Systems with Applications: An International Journal
Segmentation in MRI of ophthalmology using a robust-type clustering algorithm

FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Review of brain MRI image segmentation methods

Artificial Intelligence Review
Graph nodes clustering based on the commute-time kernel

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
A multiobjective simultaneous learning framework for clustering and classification

IEEE Transactions on Neural Networks
White matter lesion segmentation based on feature joint occurrence probability and Χ2 random field theory from magnetic resonance (MR) images

Pattern Recognition Letters
Effective fuzzy c-means based kernel function in segmenting medical images

Computers in Biology and Medicine
Evaluation of e-learning systems based on fuzzy clustering models and statistical tools

Expert Systems with Applications: An International Journal
Locality sensitive C-means clustering algorithms

Neurocomputing
Novel segmentation algorithm in segmenting medical images

Journal of Systems and Software
Robust kernel FCM in segmentation of breast medical images

Expert Systems with Applications: An International Journal
Fuzzy c-means clustering with non local spatial information for noisy image segmentation

Frontiers of Computer Science in China
Fuzzy C-means based clustering for linearly and nonlinearly separable data

Pattern Recognition
Modified bias field fuzzy C-means for effective segmentation of brain MRI

Transactions on computational science VIII
Suppressed fuzzy-soft learning vector quantization for MRI segmentation

Artificial Intelligence in Medicine
Modified bias field fuzzy C-means for effective segmentation of brain MRI

Transactions on computational science VIII
Study of various neural networks to improve the defuzzification of fuzzy clustering algorithms for ROIs detection in lung CTs

IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
A spatially constrained fuzzy hyper-prototype clustering algorithm

Pattern Recognition
Simultaneous clustering and classification over cluster structure representation

Pattern Recognition
Improved Fuzzy Clustering Algorithms in Segmentation of DC-enhanced breast MRI

Journal of Medical Systems
An embedded software-reconfigurable color segmentation architecture for image processing systems

Microprocessors & Microsystems
A modified fuzzy c-means algorithm for differentiation in MRI of ophthalmology

MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
Image segmentation using fuzzy logic, neural networks and genetic algorithms: survey and trends

Machine Graphics & Vision International Journal
Strong fuzzy c-means in medical image data analysis

Journal of Systems and Software
Fuzzy data mining: a literature survey and classification framework

International Journal of Networking and Virtual Organisations
A new ECG beat clustering method based on kernelized fuzzy c-means and hybrid ant colony optimization for continuous domains

Applied Soft Computing
A novel fuzzy Dempster-Shafer inference system for brain MRI segmentation

Information Sciences: an International Journal
Robust kernelized approach to clustering by incorporating new distance measure

Engineering Applications of Artificial Intelligence
Cloud integrated web platform for marine monitoring using GIS and remote sensing: application to oil spill detection through SAR images

UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
A modified interval type-2 fuzzy C-means algorithm with application in MR image segmentation

Pattern Recognition Letters
Localized FCM clustering with spatial information for medical image segmentation and bias field estimation

Journal of Biomedical Imaging
Kernel fuzzy c-means with automatic variable weighting

Fuzzy Sets and Systems
Fuzzy C-mean based brain MRI segmentation algorithms

Artificial Intelligence Review
Special Section on Uncertainty and Parameter Space Analysis in Visualization: Uncertainty estimation and visualization in probabilistic segmentation

Computers and Graphics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Image segmentation plays a crucial role in many medical imaging applications. In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MRI) data. The algorithm is realized by modifying the objective function in the conventional fuzzy C-means (FCM) algorithm using a kernel-induced distance metric and a spatial penalty on the membership functions. Firstly, the original Euclidean distance in the FCM is replaced by a kernel-induced distance, and thus the corresponding algorithm is derived and called as the kernelized fuzzy C-means (KFCM) algorithm, which is shown to be more robust than FCM. Then a spatial penalty is added to the objective function in KFCM to compensate for the intensity inhomogeneities of MR image and to allow the labeling of a pixel to be influenced by its neighbors in the image. The penalty term acts as a regularizer and has a coefficient ranging from zero to one. Experimental results on both synthetic and real MR images show that the proposed algorithms have better performance when noise and other artifacts are present than the standard algorithms.