Finding templates for cephalometric landmarks using pulse coupled neural networks and genetic programming

Proceedings of the International Conference on Imaging Science, Systems and Technology, CISST

Volumn 2, Issue , 2003, Pages 456-462

  Innes, Andrew ^a   Ciesielski, Vic ^a   Mamutil, John ^b   John, Sabu ^a  

^a RMIT UNIVERSITY   (Australia)

^b Braces Pty Ltd   (Australia)

Author keywords

Cephalometric analysis; Computer vision; Genetic programming; Object detection; PCNN; Pulse coupled neural networks

Indexed keywords

COMPUTER VISION; CORRELATION METHODS; DENTISTRY; GENETIC ALGORITHMS; IMAGE ANALYSIS; NEURAL NETWORKS; TISSUE; X RAYS;

CEPHALOMETRIC LANDMARK; GENETIC PROGRAMMING; OBJECT DETECTION; PULSE COUPLED NEURAL NETWORK;

EDGE DETECTION;

EID: 1842427758     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. J. Cardillo and M.A. Sid-Ahmed, "An image processing system for locating craniofacial landmarks," IEEE transaction on Medical Imaging June 1994, vol. 13, no. 1, pp. 275-289, 1994.
2. T.J. Hutton, S. Cunningham, and P. Hammond, "An evaluation of active shape models for the automatic identification of cephalometric landmarks," European Journal of Orthodontic, vol. 22, no. 5, pp. 499-508, October 2000.
3. Y. Chen, K. Cheng, and J. Liu, "Improving cephalogram analysis through feature subimage extraction," IEEE engineering in Medicine and Biology, pp. 25-31, 1999.
4. Andrews Innes, Vic Ciesielski, John Mamutil, Sabu John, and Alan Harvey, "Landmark detection for cephalometric radiology images using genetic programming," in Proceedings of the 6th Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, Ruhul Sarker, Bob McKay, Mitsuo Gen, and Akira Namatame, Eds., Canberra, Nov. 2002, 125-132, http://www.cs.rmit.edu.au/~vc/papers/austjap-ec02.pdf.
5. Andrews Innes, Vic Ciesielski, John Mamutil, and Sabu John, "Landmark detection for cephalometric radiology images using pulse coupled neural networks," in Proceedings of the 2002 International Conference on Artificial Intelligence and Workshop on Computational Models of Scientific Reasoning and Applications, 2002, pp. 390-395, http://www.cs.rmit.edu.au/~vc/papers/isai02.doc.
6. Mengjie Zhang and Victor Ciesielski, "Genetic programming for multiple class object detection," in Proceedings of the 12th Australian Joint Conference on Artificial Intelligence, Norman Foo, Ed. Dec 1999, vol. 1747, Lecture Notes in Artificial Intelligence, pp. 180-191, Springer, Heidelberg, http://www.cs.rmit.edu.au/~vc/papers/ai99.pdf.