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Volumn , Issue , 2007, Pages 422-426

Skull stripping and automatic segmentation of brain MRI using seed growth and threshold techniques

Author keywords

[No Author keywords available]

Indexed keywords

GROWTH (MATERIALS); HISTOLOGY; IMAGE ENHANCEMENT; IMAGE PROCESSING; STRIPPING (DYES);

EID: 57949084975     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAS.2007.4658421     Document Type: Conference Paper
Times cited : (66)

References (13)
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    • A comparison of Neural Network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain
    • September
    • Lawrence O Hall,Amine M Bensaid, Laurence P Claeke Robert P Velthuizen,: "A comparison of Neural Network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain"; IEEE Transactions on Neural networks vol.3,N0.5,September 1992
    • (1992) IEEE Transactions on Neural networks , vol.3
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  • 3
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    • Yuhua Gu, Lawrence O.Hall, DGoldgof, P M Kanade,Sequence Tolerant Segmentation System of Brain MRI IEEE international conference on Systems ,Man and Cybernetics 3 Oct.2005
    • Yuhua Gu, Lawrence O.Hall, DGoldgof, P M Kanade,"Sequence Tolerant Segmentation System of Brain MRI" IEEE international conference on Systems ,Man and Cybernetics vol.3 Oct.2005
  • 4
    • 57949083784 scopus 로고    scopus 로고
    • Haihong Zhuang and Daniel J. Valentino: A Level set method for skull stripping MR Brain Images 0-7803-8388-5/04, 2004 IEEE
    • Haihong Zhuang and Daniel J. Valentino: "A Level set method for skull stripping MR Brain Images "0-7803-8388-5/04, 2004 IEEE
  • 5
    • 0030316272 scopus 로고    scopus 로고
    • R Kyle Justice and Ernest m Stokely: 3D Segmentation of MR Brain images using seeded region growing: 18th Annual International conference of the IEEE engineering in Medicine and Biology Society , Amsterdam 1996.
    • R Kyle Justice and Ernest m Stokely: "3D Segmentation of MR Brain images using seeded region growing": 18th Annual International conference of the IEEE engineering in Medicine and Biology Society , Amsterdam 1996.
  • 7
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    • Model Based Brain and Tumour Segmentation
    • Nathan Moon, Elizabeth B, "Model Based Brain and Tumour Segmentation" IEEE 2002
    • (2002) IEEE
    • Nathan Moon, E.B.1
  • 8
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MRI through a hidden Markov random field model and the expectationmaximization algorithm
    • Y. Zhang, M. Brady, and S. Smith, "Segmentation of brain MRI through a hidden Markov random field model and the expectationmaximization algorithm," IEEE Transactions on Medical Imaging, vol. 20, pp. 45-57, 2001
    • (2001) IEEE Transactions on Medical Imaging , vol.20 , pp. 45-57
    • Zhang, Y.1    Brady, M.2    Smith, S.3
  • 9
    • 0036915828 scopus 로고    scopus 로고
    • Siamak Ardekani,H Kangarloo, Usha Sinha:Region based fuzzy clustering for automated brain segmentation. Proceedings of the second joint EMBS/BMES Conference. Houston October 2002
    • Siamak Ardekani,H Kangarloo, Usha Sinha:"Region based fuzzy clustering for automated brain segmentation." Proceedings of the second joint EMBS/BMES Conference. Houston October 2002
  • 10
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    • Combining Fuzzy Logic and Level Set Methods for 3D MRI Brain Segmentation
    • IEEE
    • Cybele Ciofolo, Christian Barillot, Pierre Hellier, "Combining Fuzzy Logic and Level Set Methods for 3D MRI Brain Segmentation." 0-7803-8388-5/04 2004 IEEE
    • (2004) 0-7803-8388-5/04
    • Ciofolo, C.1    Barillot, C.2    Hellier, P.3
  • 12
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    • Mohamed N. Ahmed and A. A. Farag, "Two Stage Neural Network for volume segmentation of medical images "0-7803-4122-8/97 IEEE 1997 IEEE.
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    • The Research of classification algorithm based on Fuzzy clustering and Neural Network IEEE
    • Y Zhou, Hong Chen, QZhu," The Research of classification algorithm based on Fuzzy clustering and Neural Network" 2002 IEEE
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.