Knowledge-based landmarking of cephalograms
Computers and Biomedical Research
Automatic landmarking of cephalograms
Computers and Biomedical Research
Linear and Non-Linear Model for Statistical Localization of Landmarks
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
Breast MR segmentation and lesion detection with cellular neural networks and 3D template matching
Computers in Biology and Medicine
Cellular neural networks and dynamic enhancement for cephalometric landmarks detection
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
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Cephalometric analysis is a time consuming measurement process by which experienced orthodontist identify on lateral craniofacial X-rays landmarks that are needed for diagnosis and treatment planning and evaluation. High speed and accuracy in detection of craniofacial landmarks are widely demanded. A prototyped system, which is based on CNNs (Cellular Neural Networks) is proposed as an efficient technique for landmarks detection. The first stage of system evaluation assessed the image output of the CNN, to verify that it included and properly highlighted the sought landmark. The second stage evaluated performance of the developed algorithms for 8 landmarks. Compared with the other methods proposed in the literature, the findings are particularly remarkable with respect to the accuracy obtained. Another advantage of a CNN based system is that the method can either be implemented via software, or directly embedded in the hardware, for real-time performance.