메뉴 건너뛰기




Volumn 36, Issue 1, 2009, Pages 248-259

A hierarchical evolutionary algorithm for automatic medical image segmentation

Author keywords

Hierarchical evolutionary algorithm; Image segmentation

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOOLEAN FUNCTIONS; CLUSTERING ALGORITHMS; DIGITAL IMAGE STORAGE; EVOLUTIONARY ALGORITHMS; FLOW OF SOLIDS; FUZZY NEURAL NETWORKS; GENETIC ALGORITHMS; HOPFIELD NEURAL NETWORKS; IMAGE PROCESSING; NETWORK PROTOCOLS; NEURAL NETWORKS; SENSOR NETWORKS;

EID: 53849098345     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.09.003     Document Type: Article
Times cited : (91)

References (24)
  • 2
    • 0035420133 scopus 로고    scopus 로고
    • Medical image segmentation using a contextual-constraint-based Hopfield neural cube
    • Chang C.-Y., and Chung P.-C. Medical image segmentation using a contextual-constraint-based Hopfield neural cube. Image and Vision Computing 19 (2001) 669-678
    • (2001) Image and Vision Computing , vol.19 , pp. 669-678
    • Chang, C.-Y.1    Chung, P.-C.2
  • 3
    • 3543098627 scopus 로고    scopus 로고
    • Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
    • Chen S., and Zhang D. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Transactions on Systems Man and Cybernetics B 34 (2004) 1907-1916
    • (2004) IEEE Transactions on Systems Man and Cybernetics B , vol.34 , pp. 1907-1916
    • Chen, S.1    Zhang, D.2
  • 4
    • 0030215237 scopus 로고    scopus 로고
    • The application of competitive Hopfield Neural Network to medical image segmentation
    • Cheng K.S., Lin J.S., and Mao C.W. The application of competitive Hopfield Neural Network to medical image segmentation. IEEE Transactions on Medical Imaging 15 (1996) 560-567
    • (1996) IEEE Transactions on Medical Imaging , vol.15 , pp. 560-567
    • Cheng, K.S.1    Lin, J.S.2    Mao, C.W.3
  • 13
    • 0032587462 scopus 로고    scopus 로고
    • Segmentation of magnetic resonance image using fuzzy algorithms for learning vector quantization
    • Karayiannis N.B., and Pai P.-I. Segmentation of magnetic resonance image using fuzzy algorithms for learning vector quantization. IEEE Transactions on Medical Imaging 18 (1999) 172-180
    • (1999) IEEE Transactions on Medical Imaging , vol.18 , pp. 172-180
    • Karayiannis, N.B.1    Pai, P.-I.2
  • 14
    • 0033715579 scopus 로고    scopus 로고
    • Genetic algorithm-based clustering technique
    • Maulik U., and Banyopadhyay S. Genetic algorithm-based clustering technique. Pattern Recognition 33 (2000) 1455-1465
    • (2000) Pattern Recognition , vol.33 , pp. 1455-1465
    • Maulik, U.1    Banyopadhyay, S.2
  • 17
    • 0033181293 scopus 로고    scopus 로고
    • Adaptive fuzzy segmentation of magnetic resonance images
    • Pham D.L., and Prince J.L. Adaptive fuzzy segmentation of magnetic resonance images. IEEE Transactions on Medical Imaging 18 (1999) 737-752
    • (1999) IEEE Transactions on Medical Imaging , vol.18 , pp. 737-752
    • Pham, D.L.1    Prince, J.L.2
  • 18
    • 0031162688 scopus 로고    scopus 로고
    • Hopfield neural network for the multichannel segmentation of magnetic resonance cerebral images
    • Sammouda R., Niki N., and Nishitani H. Hopfield neural network for the multichannel segmentation of magnetic resonance cerebral images. Pattern Recognition 30 (1997) 921-927
    • (1997) Pattern Recognition , vol.30 , pp. 921-927
    • Sammouda, R.1    Niki, N.2    Nishitani, H.3
  • 19
    • 0031248740 scopus 로고    scopus 로고
    • A clustering algorithm using an evolutionary programming-based approach
    • Sarkar M., Yegnanarayana B., and Khemani D. A clustering algorithm using an evolutionary programming-based approach. Pattern Recognition Letters 18 (1997) 975-986
    • (1997) Pattern Recognition Letters , vol.18 , pp. 975-986
    • Sarkar, M.1    Yegnanarayana, B.2    Khemani, D.3
  • 20
    • 1542272449 scopus 로고    scopus 로고
    • Shen, S., Sandham, W. A., Granat, M. H., Dempsey, M. F., & Patterson, J. (2003). Fuzzy clustering based applications to medical image segmentation. In Proceedings of the 25th annual international conference of the IEEE engineering in medicine and biology society, Vol. 1. (pp. 747-750).
    • Shen, S., Sandham, W. A., Granat, M. H., Dempsey, M. F., & Patterson, J. (2003). Fuzzy clustering based applications to medical image segmentation. In Proceedings of the 25th annual international conference of the IEEE engineering in medicine and biology society, Vol. 1. (pp. 747-750).
  • 22
  • 23
    • 0032208083 scopus 로고    scopus 로고
    • A segmentation algorithm for noisy images: Design and evaluation
    • Xu Y., Olman V., and Uberbacher E.C. A segmentation algorithm for noisy images: Design and evaluation. Pattern Recognition Letters 19 (1998) 1213-1224
    • (1998) Pattern Recognition Letters , vol.19 , pp. 1213-1224
    • Xu, Y.1    Olman, V.2    Uberbacher, E.C.3
  • 24
    • 33750209905 scopus 로고    scopus 로고
    • Medical image segmentation using minimal path deformable models with implicit shape priors
    • Yan P., and Kassim A.A. Medical image segmentation using minimal path deformable models with implicit shape priors. IEEE Transactions on Information Technology B 10 (2006) 677-684
    • (2006) IEEE Transactions on Information Technology B , vol.10 , pp. 677-684
    • Yan, P.1    Kassim, A.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.