Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Automated ultrasonic measurement of fetal nuchal translucency using dynamic programming
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
WSEAS Transactions on Information Science and Applications
WSEAS Transactions on Information Science and Applications
Segmentation of prostate tumor for gamma image using region growing method
Proceedings of the 15th WSEAS international conference on Computers
Extended robust diffusion algorithm for two dimensional ultrasonic images
Proceedings of the 15th WSEAS international conference on Systems
Proceedings of the 15th WSEAS international conference on Systems
Two dimensional automated movement ultrasound breast scanning system
Proceedings of the 15th WSEAS international conference on Systems
Computational 3D ultrasound volumetric rendering; an object oriented open-sources approach
ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
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Ultrasound screening is performed during early pregnancy for assessment of fetal well being and prenatal diagnosis of fetal chromosomal anomalies including measurement of nuchal translucency (NT) thickness. The drawback of current NT measurement technique is restricted with inter and intro-observer variability and inconsistency of results. Hence, we present an automated detection and measurement method for NT in this study. Artificial neural network was trained to locate the region of interest (ROI) that contains NT. The accuracy of the trained network was achieved at least 93.33 percent which promise an efficient method to recognize NT automatically. Border of NT layer was detected through automatic computerized algorithm to find the optimum thickness of the windowed region. Local measurements of intensity, edge strength and continuity were extracted and became the weighted terms for thickness calculation. Finding showed that this method is able to provide consistent and more objective results.