TY  - JOUR
AU  - Ayache, Mohammad 
AU  - Khalil, Mohamad 
AU  - Tranquart, Francois 
PY  - 2010
TI  - DWT to Classify Automatically the Placental Tissues Development: Neural Network Approach
JF  - Journal of Computer Science
VL  - 6
IS  - 6
DO  - 10.3844/jcssp.2010.634.640
UR  - https://thescipub.com/abstract/jcssp.2010.634.640
AB  - 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.