Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/67717
Type: Artigo de periódico
Title: Fuzzy fusion operators to combine results of complementary medical image segmentation techniques
Author: Guliato, D
Rangayyan, RM
Carnielli, WA
Zuffo, JA
Desautels, JEL
Abstract: The detection of masses and tumors in a mammogram is a difficult problem that could benefit from the use of multiple approaches. We propose an abstract concept of information fusion based on a finite automaton and fuzzy sets to integrate and evaluate results of multiple image segmentation procedures. We, give examples on how the method can be applied to the problem of mammographic image segmentation,. combining results of region growing and closed-contour detection techniques. We also propose a measure of fuzzyness to assess the agreement between a segmented region and a reference contour. Application of the fusion technique to breast tumor detection in mammograms indicates that the fusion results agree with the reference contours provided by a radiologist to a higher extent than the results of the individual methods. (C) 2003 SPIE and IST.
Country: EUA
Editor: I S & T - Soc Imaging Science Technology
Rights: fechado
Identifier DOI: 10.1117/1.1578639
Date Issue: 2003
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
WOS000184519300002.pdf462.93 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.