BioMed Research International / 2017 / Article / Alg 1

Research Article

3D Liver Tumor Segmentation in CT Images Using Improved Fuzzy C-Means and Graph Cuts

Algorithm 1

Kernelized FCM with spatial constraints (KFCMS).
input: the tumor seed point , the tumor VOI
output: the probabilistic models for tumor and liver
Set the number of clusters , weighting factor , , ,
neighborhood window of radius 3 voxels, the Gaussian parameter ,
maximum number of iterations , and maximum error
Set the intensity of the seed point, and the average intensity value of the liver
region as the initial cluster centers
  for iteration   do
Calculate the membership matrix according to (4)
Update the new cluster centers according to (6)
  , if ,
end for
Generate probabilistic model for each cluster derived from .

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