Corpus ID: 212628264

Neural networks approach for mammography diagnosis using wavelets features

@article{Rashed2020NeuralNA,
  title={Neural networks approach for mammography diagnosis using wavelets features},
  author={Essam A. Rashed and Mohamed G. Awad},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.03000}
}
A supervised diagnosis system for digital mammogram is developed. The diagnosis processes are done by transforming the data of the images into a feature vector using wavelets multilevel decomposition. This vector is used as the feature tailored toward separating different mammogram classes. The suggested model consists of artificial neural networks designed for classifying mammograms according to tumor type and risk level. Results are enhanced from our previous study by extracting feature… Expand

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