FCM

By adopting FCM clustering algorithm, demonstrate that this approach has its advantage of high verification rate in palm print.

Considering image space neighborhood information and different contributions of every pixel, we brought in spatially weighted FCM.

After nearly two years of the same layout and colours, we gave FCM a lick of paint.

The algorithm is initialized by a statistical histogram based FCM algorithm, which can speed up the convergence of the algorithm.

If there's something you think is missing from FCM feel free to drop me an email, my email address is below.

As the number of request blocks goes up, the number of FCM buffers (fcm_num_buffers) goes up.

If you skip to the last page of this issue, you'll see something we've never done before in FCM, an advertisement.

Results: The cultured synovial cells were in a fibrocyte-like form with long fusiform shape and grew in the same direction.

As mans c-means algorithms, FCM denotes class only by class center, which can only fit to sphere-like type of cluster.

Fuzzy c-means (FCM) clustering algorithm is a popular model widely used in the segmentation of magnetic resonance image (MRI).

Methods Patients were divided into different groups to determine the T lymphocyte and NK cell by the FCM (Flow Cytometry).

Conclusion The DNA quantitive analysis with FCM is helpful for the early diagnosis of laryngeal carcinoma.

I propose that FCM establishes a regular chat time on a specific topic and an article summarizing the discussions be written.

This paper studies a Method of unsupervised Fuzzy Clustering (FCM) in segmentation multi-echo Magnetic Resonance Images of the Brain.

FCM was used to detect the lymphocyte subgroup ratio of spleen cells from tumor-bearing mice.

The combination of FCM and improved LDA is applied to SVM by multi models method, which can reinforce the algorithm.

This paper introduces the application of FCM algorithm in the evolution of genetic algorithm, instead of the original crossover operator.

Finally we combined FCM algorithm with neural network and used them in the design of vehicle classification.

Methods: The synovial cells from AA rats were cultured with synovial tissue and identified by morphology and flow cytometer(FCM).

A new automatic segmentation method of suspected lung nodules of edge-preserving smoothing and improved FCM algorithm is proposed.

Though FCM communication becomes faster, it reduces the database shared memory by one segment.

Conclusion The detection of HLA-B27 expression with FCM is an easy, stable, accurate method with high repeatability.

The FCM analysis showed that the apoptosis rate increased after Hela cells were effected by matrine.

A simple way was founded to solve the shortage in the cell size measurement of flow cytometry (FCM).

Methods The levels of CD28 of the patients of craniocerebral trauma before and after treatment were detected by flow cytometry(FCM).

Objective: To investigate the clinical value of DNA assay in patients with endometrial disease by flow cytometry (FCM).

MTT assay was applied for cell proliferation detection, while Flow Cytometry (FCM) for cell cycle analysis.

Firstly, the continuous attributes were dispersed by the Fuzzy C-Mean (FCM) algorithm.

The value of cluster centers and FCM are adopted to determine the undetermined cluster regions.

Otherwise, we did the clustering validity analysis for FCM , IFCM and improved FCM algorithm in the application.

The problem of reduced segmentation accuracy with traditional FCM is well solved by the proposed approach.

The expression of B cell markers and major histocompatibility complex (MHC) on cell surface were detected by FCM.

Firstly, we detected the distribution of CD155 on various human cell lines with indirect immunofluorescence staining and FCM analysis.

Firstly, the idea of modular ANN is introduced and a fuzzy partition method based on FCM is proposed.

To overcome the above problem, a novel modified FCM algorithm for image segmentation is presented in this paper.

To explore the significance of the cell cycle in sino-nasal neoplasm by flow cytometry (FCM).

Arming at these problems, a multiphase CV model integrated with improved FCM algorithm is proposed.

Firstly, the basic principle of FCM is introduced. FCM can divide the input feature value into several groups.

The algorithm is validated and compared with the FCM clustering outcome by examples.

Objective To establish a method of flow cytofluorometric(FCM) antibiotic susceptibility test for Enterococcus in vitro.

finally, FCM algorithm is used to segment the brain structure to get the white matter, gray matter and cerebral spinal fluid.

According to the results made by FCM, inferior supervisors can integrate and allocate the limit resource of outlets in the district.

In the detection of intrusive data, DCFCM is highly detective and less false-alarming in contrast with traditional FCM algorithm.

Compared with other algorithms, FCM has many advantages such as simple computation, rapid speed and an intuitive geometric significance.

In part one, Finite Cell Method (FCM) is used in simulating mass transport process in porous media with various porosity.

FCM is an unsupervised cluster algorithm. It needs to know the number of clusters, c, and the fuzzy exponent, m.

This article reviews the application of FCM in the microbiology in detail.

A method of flow cytometry(FCM) to microbial analysis of raw milk was investigated.

Methods: T lymphocyte subsets of peripheral blood in 50 heroin addicts and 50 healthy subjects were measured with flow cytometer (FCM).

And then the results from previous for fuzzy clustering method can make up the deficiency of ant colony algorithm.

Firstly, according to five estimation indexes, all bank outlets we observed are classified by FCM.

A new hybrid clustering algorithm based on particle swarm optimization and FCM algorithm is proposed.

IMAGE SEGMENTATION METHOD BASED ON PYRAMID FCM CLUSTERING AND REGION FUZZY MERGENCE?

Methods: Cellular apoptosis index and immunity parameter(CD 4, CD 8, NK) Was analyzed with flow cytometry (FCM).

The cell cycle arrest and the cell apoptosis were found by FCM.

An improved FCM algorithm is proposed based on the improvement of hybrid color space.

DB2 can use FCM to communicate between agents working on the same request.

This paper proposes an improved CV model based on fast FCM algorithm and local template.

We compare the approach with some other methods such as FCM and AKM, in several problems for analyzing it's effectiveness.

FCM buffers are allocated from this memory area.

Tests show these methods can reduce data amount greatly and make FCM algorithm segment MRI lastly and efficiently.

In order to overcome the sensitive of FCM algorithm to the initial value, propose a FCM algorithm based on immune genetic algorithm.

This paper gives a method of reflectivity quality control for CINARAD Doppler weather radar in China on the basis on FCM algorithm.

Manage FCM team and make FCM process & guidelines to meet Bosch standards.

Based on the analysis of FCM, some problems are found such as miss association, missing new targets and repeat tracking of targets.

And then, a fuel management model based on FCM is built.

FCM method showed, NDV could make NPC cells stop in the period of G1 and lead to apoptosis.

So we introduce type-2 fuzzy sets in this paper and make some improvement on traditional FCM based on type-2 fuzzy theory.

study of the relationship between cell size , chlorophyll content of aegiceras corniculatum mesophyll and seawater salinity by fcm

Relationship of FCM analysis of meningioma with recurrence after tumor total removal and its pathologic features

Integrate GA Algorithms And A Modified FCM Clustering Algorithms

Inference of Gene Regulatory Network Using FCM Clustering and Nonparametric Regression Algorithm

An FCM clustering algorithm for multiple attribute information with triangular fuzzy numbers

Image Segmentation Using Dynamic Threshold Combined Global Threshold Based FCM

A FCM Clustering Algorithm for Multiple Attribute Information with Interval Numbers

A fast optimization algorithm of improved FCM and its application

Ultrastructural observation and FCM analysis of primary spleen lymphoma

The New Explanation of Membership Degree in FCM and its Applications

Using FCM to analyze the absolute counts change of lymphocyte in peripheral blood of six groups of tumor patients

Fuzzy clustering; spatially weighted FCM; Kernel function; image segmentation; color space;

A Modified Algorithm of FCM for Simulating Biological and Chemical Transport Process

Relation of FCM DNA content and S-phase fraction to the biological characteristics of lung cancer

An Approach of FCM Clustering Segmentation for Building Groups from Urban Aerial Images

Research on initialization of image segmentation with FCM algorithm

Measurement of immunophenotype and cytotoxicity of CIK against tumor cells in vitro by FCM

The Establishment and Application of the Method Measuring Apoptosis Level of Labeled Cells by FCM

Effect of aspirin on platelet activation markers in patients with coronary heart disease by FCM

Application of FCM in Performance Evaluation for Aircraft Dynamic Use

Study of Color Blood Image Segmentation Based on Two-stage-improved FCM algorithm

Analysis of main pathogen of deep fungal infection in patients with lung cancer by FCM

A Genetic Algorithm Based Approach for Image FCM Segmentation

Fuzzy Clustering Market Segmentation Method Based on Information Entropy Theory and FCM Algorithm

Segmentation and Classification of MRI Based on FCM Clustering Algorithm and Computerized Brain Atlas

Next step on China FCM technical standards development

Approach of FCM clustering image segmentation based on improved evolution strategies

Inverse method for piecewise linear approximation of concrete tension softening curve based on FCM

An Extension of FCM for Simulating Mass Transport in Porous Media

The application of FCM in diagnosis and research of blood tumor

Application of fluorescent probes in tumor research by using FCM

On the FCM Clustering based on Subtractive Clustering and Cluster Validity Evaluation

Hybrid Cluster Analysis Method Based on GA and FCM for Automatically Identifying Joint Sets

A combined cloud classification method of multi-spectral satellite cloud pictures based on GA and FCM

Unsupervised Segmentation of Images Based on FCM and Mutual Information

A Modified Algorithm of Image Segmentation for Bearing Scratch Defects Based on FCM

A Fuzzy Clustering Algorithm Based on Genetic Algorithm and FCM Algorithm

Medical Image Segmentation Based on Modified FCM Algorithm

An Adaptive Watermarking Technique Based on DWT Domain and FCM Algorithm

Gene Expression Data Analysis Based on Evolution FCM Algorithm

The Improvement of FCM Algorithm Based on Hierarchical Cluster

Comprehensive evaluation system based on FCM and rough sets theory

Fault diagnosis method based on evolution FCM algorithm

Medical image segmentation based on FCM clustering and rough set

Face Detection Based on Skin Color Model and FCM Dynamic Clustering

Modified algorithm of image segmentation based on FCM

Method and implement for medical image retrieval based on FCM

A knowledge mining method for continuous data based on FCM and rough set

Research of the Cluster of Toll Vehicle Type Based on FCM

A Method of Image Edge Detection Based on Multiple Edge Features and FCM

Improved FCM Algorithm Based on the Density of Samples

Links from Members of FCM Forum

Study on the Fast Fuzzy Cluster Algorithm Based on FCM

Image Clustering Based on Rough Set Theory and FCM

A Fast FCM Algorithm Based on Weighted Sample

FCM technical standard system in China