Segmentation of ovarian ultrasound images using cellular neural networks trained by support vector machines

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4253 LNAI - III, Issue , 2006, Pages 515-522

  Cigale, Boris ^a   Lenič, Mitja ^a   Zazula, Damjan ^a  

^a UNIVERSITY OF MARIBOR   (Slovenia)

Author keywords

Cellular neural network; Medical ultrasound image segmentation; Support vector machines; Template optimisation

Indexed keywords

CELLULAR NEURAL NETWORKS; GENETIC ALGORITHMS; IMAGE PROCESSING; LEARNING SYSTEMS; PROBLEM SOLVING; SIMULATED ANNEALING; ULTRASONICS;

MACHINE LEARNING TECHNIQUES; MEDICAL ULTRASOUND IMAGE SEGMENTATION; SUPPORT VECTOR MACHINES; TEMPLATE OPTIMIZATION;

IMAGE SEGMENTATION;

EID: 33750717272     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893011_66     Document Type: Conference Paper

References (10)

1. Bronzino, J.D.: The Biomédical Engineering Handbook. CRC Press, Boca Raton, USA (1995)
2. S. W. Perry, H.S.W., L, L.G.: Adaptive Image Processing: A Computational Intelligence Perspective. CRC Press, Boca Raton, USA (2002)
3. O., C.L., L., Y.: Cellular neural networks: Theory. IEEE Transactions on Circuits and systems 35(10) (1988) 1257-1272
4. Hopfield, J.J.: Neural networks and physical systems with emergent computational abilities. Pore. Natl. Acad. Sci. 79(8) (1982) 2554-2558
5. Hänggi, M., Moschzty, G.S.: Cellular Neural Network: Analysis, Design and Optimisation. Kluwer Academic Publishers, Boston, USA (2000)
6. Vapnik, V.N.: The nature of statistical learning theory. Springer, New York (1995)
7. Burges, C.J.C.: A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2(2) (1998) 121-167
8. Cigale, B., Zazula, D.: Segmentation of ovarian ultrasound images using cellular neural networks. IJPRAI 18(4) (2004) 563-581
9. Zazula, D., Cigale, B.: Intelligent Segmentation of Ultrasound Images Using Cellular Neural Networks. Intelligent Processing Paradigms in Recognition and Classification of Astrophysical and Medical Images, In press (2006)
10. Potocnik, B., Zazula, D.: Automated analysis of a sequence of ovarian ultrasound images, part i. Imag. Vis. Comput. 20(3) (2002) 217-225