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Volumn 4522 LNCS, Issue , 2007, Pages 611-620

Efficient feature extraction for fast segmentation of MR brain images

Author keywords

Feature extraction; Fuzzy c means algorithm; Image segmentation; Magnetic resonance imaging; Noise elimination

Indexed keywords

ALGORITHMS; BRAIN; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; PROBLEM SOLVING;

EID: 38049067717     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73040-8_62     Document Type: Conference Paper
Times cited : (9)

References (12)
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  • 3
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  • 5
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  • 7
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    • Adaptive fuzzy segmentation of magnetic resonance images
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    • Pham, D.L.1    Prince, J.L.2
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    • Unsupervised tissue classification in medical images using edgeadaptive clustering
    • Pham, D.L.: Unsupervised tissue classification in medical images using edgeadaptive clustering. Proc. Ann. Int. Conf. IEEE EMBS 25, 634-637 (2003)
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    • An intelligent modified fuzzy c-means based algorithm for bias field estimation and segmentation of brain MRI
    • Siyal, M.Y., Yu, L.: An intelligent modified fuzzy c-means based algorithm for bias field estimation and segmentation of brain MRI. Patt. Recogn. Lett. 26, 2052-2062 (2005)
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    • Medical image processing methods for the development of a virtual endoscope
    • Szilágyi, L.: Medical image processing methods for the development of a virtual endoscope. Period. Polytech. Ser. Electr. Eng. 50(1-2), 69-78 (2006)
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    • Szilágyi, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.