Artificial Neural Network for Transfer Function Placental Development : DCT and DWT Approach

@inproceedings{Ayache2011ArtificialNN,
  title={Artificial Neural Network for Transfer Function Placental Development : DCT and DWT Approach},
  author={M. Ayache and M. Khalil and François Tranquart},
  year={2011}
}
The aim of our study is to propose an approach for transfer function placental development using ultrasound images. This approach is based to the selection of tissues, feature extraction by discrete cosine transform DCT, discrete wavelet transform DWT and classification of different grades of placenta by artificial neural network and especially the multi layer perceptron MLP. The proposed approach is tested for ultrasound images of placenta, resulting in 75% success rate of classification using… CONTINUE READING