A robust fuzzy clustering technique with spatial neighborhood information for effective medical image segmentation: An efficient variants of fuzzy clustering technique with spatial information for effective noisy medical image segmentation

Beevi, S. Zulaikha; Sathik, M. Mohamed; Senthamaraikannan, K.; Yasmin, J. H. Jaseema

doi:10.1109/icccnt.2010.5591787

Cited by 9 publications

(1 citation statement)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Spatial fuzzy C-means proved to be 980 effective to overcome the presence of noises in images and improve the cluster partitioning (Beevi et al, 2010;Li et al, 2011;Krinidis & Chatzis, 2010;Hassan et al, 2012). Use of spatial fuzzy c-means algorithms could also overcome the problems with transitions of intensities values belonging to a same component.…”

Section: Discussionmentioning

confidence: 99%

A review of computational methods applied for identification and quantification of atherosclerotic plaques in images

Jodas

Pereira

Tavares

2016

Expert Systems with Applications

View full text Add to dashboard Cite

Evaluation of the composition of atherosclerotic plaques in images is an important task to determine their pathophysiology. Visual analysis is still as the most basic and often approach to determine the morphology of the atherosclerotic plaques. In addition, computer-aided methods have also been developed for identification of features such as echogenicity, texture and surface in such plaques. In this article, a review of the most important methodologies that have been developed to identify the main components of atherosclerotic plaques in images is presented. Hence, computational algorithms that take into consideration the analysis of the plaques echogenicity, image processing techniques, clustering algorithms and supervised classification used for segmentation, i.e. identification, of the atherosclerotic plaque components in ultrasound, computerized tomography and magnetic resonance images are introduced. The main contribution of this paper is to provide a categorization of the most important studies related to the segmentation of atherosclerotic plaques and its compo- * Corresponding author. Tel.: +351 22 508 1487; fax: +351 22 508 1445Email addresses: danilojodas@gmail.com (Danilo Samuel Jodas), aledir@sjrp.unesp.br (Aledir Silveira Pereira), tavares@fe.up.pt (João Manuel R. S. Tavares ) URL: http://www.fe.up.pt/~tavares (João Manuel R. S. Tavares ) October 12, 2015 nents in images acquired by the most used imaging modalities. In addition, the effectiveness and drawbacks of each methodology as well as future researches concerning the segmentation and classification of the atherosclerotic lesions are also discussed. Preprint submitted to Journal of L A T E X Templates

show abstract

Section: Discussionmentioning

confidence: 99%