___

• Blake, A., Isard, M., “Active contours, the
• application of techniques from graphics, vision,
• control theory and statistics to visual tracking of
• shape in motion”, Springer-Verlag, New York,
• -
• Kass M., Witkin A., and Terzopoulos D.,
• “Snakes: active contour models”, International
• Journal of Computer Vision, Cilt 1, No 4, 321-
• , 1988.
• Miller J. V., Breen D. E., Lorensen W. E., O'Bara
• R. M. and Wozny M. J., “Geometrically
• deformed models: a method for extracting closed
• geometrical models from volume data”,
• Computer Graphics, Cilt 25, No 4, 217-226,
• -
• Lobregt S. and Viergever M. A., “A discrete
• dynamic contour model”, IEEE Trans. Med.
• Imaging, Cilt 14, No 1, 12-24, 1995.
• Lefebvre, F., Berger, G., and Laugier, P.,
• “Automatic detection of the boundary of the
• calcaneus from ultrasound parametric images
• using an active contour model”, IEEE
• Transactions on Medical Imaging, Cilt 17, No
• , 45–52, 1998.
• Gonzales, R. C., Woods, R. E., “Digital image
• processing”, 2nd ed., Prentice Hall, New Jersey,
• -
• Otsu, N., “Threshold selection method from graylevel
• histograms”, IEEE Transactions on
• Systems, Man and Cybernetics, Cilt 9, No 1,
• –66, 1979.
• Ramesh, N., Yoo, J.-H., Sethi, I. K.,
• “Threshholding based on histogram
• approximation”, IEE Proceedings: Vision,
• Image and Signal Processing, Cilt 142, No 5,
• –279, 1995.
• Ladak H., Mao F., Wang Y., “Prostate boundary
• segmentation from 2D ultrasound images”, Med.
• Phys., Cilt 27, No 8, 1777-1788, 2000.
• Chiu B. C. Y., Freeman G. H., Salama M. M. A.,
• Fenster A., Rizkalla K., Downey D. B., “A
• segmentation algorithm using dyadic wavelet
• transform and discrete dynamic contour”, IEEE
• Canadian Conference on Electrical and
• Computer Engineering (CCECE’03),
• Montreal, Canada, Cilt 3, 1481- 1484, 2003.
• Pathak D. S., “Computer-Aided segmentation of
• anatomical features in transrectal ultrasound
• prostate images”, Doktora Tezi, University of
• Washington, Bioengineering Department,
• USA, 2000.
• Hönigmann D., Ruisz J., Pottmann H., “Fast
• model based segmentation of ultrasound data
• using an active image”, Proceedings IEEE Intl.
• Symposium on Biomedical Imaging: Macro to
• Nano, Washington, 225-228, 2002.
• Shen S., Zhan Y. and Davatzikos C.,
• “Segmentation of prostate boundaries from
• ultrasound images using statistical shape model”,
• IEEE Transaction on Medical Imaging, Cilt
• , No 4, 539-551, 2003.
• Chen D. R., Chang R. F., Wu W. J., Moon W. K.
• and Wu W. L., “3-D breast ultrasound
• segmentation using active contour model”,
• Ultrasound in Med.& Biol., Cilt 29, No 7, 1017-
• , 2003.
• Gong L. , “Prostate ultrasound image
• segmentation and registration”, Doktora Tezi,
• University of Washington, Electrical
• Engineering, USA, 2003.
• Xu C. and Prince J. L., “Gradient vector flow: a
• new external force for snakes”, Proceedings of
• IEEE Computer Society Conference on
• Computer Vision and Pattern Recognition,
• San Juan, Puerto Rico, 66-71, 1997.
• Xu C. and Prince J. L., “Snakes, shape, and
• gradient vector flow”, IEEE Transactions on
• Image Processing, Cilt 7, No 3, 359-369, 1998.
• Liu R., Shang Y., Sachse F. B., Dössel O., “3D
• active surface method for segmentation of
• medical image data: assessment of different
• image forces”, Biomedizinische Technik, Cilt
• , No 1, 28-29, 2003.