Fuzzy Clustering and Deformable Model for Tumor Segmentation on MRI Brain Image: A Combined Approach

Author:

A.Rajendran ,Dhanasekaran R.

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference20 articles.

1. A brain tumor segmentation framework based on outlier detection;Prastawa;Medical Image Analysis,2004

2. J.J. Corso, E. Sharon, A. Yuille, “Multilevel segmentation and integrated Bayesian model classification with an application to brain tumor segmentation”, in: MICCAI2006, Copenhagen, Denmark, Lecture Notes in Computer Science, Vol. 4191, Springer, Berlin, October 2006, pp. 790-798.

3. Atlas-based segmentation of pathological MR brain images using a model of lesion growth;Cuadra;IEEE Transactions on Medical Imaging,2004

4. Image matching as a diffusion process: an analogy with Maxwells demons;Thirion;Medical Image Analysis,1998

5. Estimation of tumor volume with fuzzy-connectedness segmentation of MR Images;Moonis;American Journal of Neuroradiology,2002

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