Medical Image Denoising Using Convolutional Denoising Autoencoders

@article{Gondara2016MedicalID,
  title={Medical Image Denoising Using Convolutional Denoising Autoencoders},
  author={Lovedeep Gondara},
  journal={2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)},
  year={2016},
  pages={241-246}
}
  • Lovedeep Gondara
  • Published 16 August 2016
  • Computer Science
  • 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW)
Image denoising is an important pre-processing step in medical image analysis. [] Key Method Heterogeneous images can be combined to boost sample size for increased denoising performance. Simplest of networks can reconstruct images with corruption levels so high that noise and signal are not differentiable to human eye.
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