Literature DB >> 19163368

A new method based on both fuzzy set and possibility theories for tumor volume segmentation on PET images.

A S Dewalle-Vignion1, N Betrouni, N Makni, D Huglo, J Rousseau, M Vermandel.   

Abstract

A new automatic method for tumor volume segmentation on PET images has been developed. The method introduced in this paper is based on previous works in MRA segmentation and involves both fuzzy set and possibility theories. Visual results prove the method efficiency which is confirmed by obtained Jaccard index.

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Year:  2008        PMID: 19163368     DOI: 10.1109/IEMBS.2008.4649865

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Three-dimensional skeletonization and symbolic description in vascular imaging: preliminary results.

Authors:  L Verscheure; L Peyrodie; A S Dewalle; N Reyns; N Betrouni; S Mordon; M Vermandel
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-07-31       Impact factor: 2.924

2.  Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation.

Authors:  A Schaefer; M Vermandel; C Baillet; A S Dewalle-Vignion; R Modzelewski; P Vera; L Massoptier; C Parcq; D Gibon; T Fechter; U Nemer; I Gardin; U Nestle
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-11-14       Impact factor: 9.236

  2 in total

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