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Journal of Computer Science

Year: 2010  |  Volume: 6  |  Issue: 6  |  Page No.: 634 - 640

DWT to Classify Automatically the Placental Tissues Development: Neural Network Approach

Mohammad Ayache, Mohamad Khalil and Francois Tranquart

Abstract

Problem statement: This study proposed an approach for classification of placental tissues development using ultrasound images. Approach: This approach was based to the selection of tissues, feature extraction by discrete wavelet transform and classification by neural network and especially the Multi Layer Perceptron (MLP). Results: The proposed approach was tested for ultrasound placental images; resulting in 95% success rate. Conclusion/Recommendations: The method showed a good recognition for placental tissues and will be useful for detection of the placental anomalies those concerning the premature birth and the intrauterine growth retardation.

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