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

Journal of Computer Science

Mohammad Ayache¹  Mohamad Khalil¹  Francois Tranquart¹ 

关键词: Placenta;    wavelet transform;    neural networks;    MLP;   

DOI  :  10.3844/jcssp.2010.634.640

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

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.

【 授权许可】

Unknown