A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks

@article{Islam2019ARA,
  title={A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks},
  author={Kh Tohidul Islam and S. Wijewickrema and S. O'Leary},
  journal={PeerJ Comput. Sci.},
  year={2019},
  volume={5},
  pages={e181}
}
  • Kh Tohidul Islam, S. Wijewickrema, S. O'Leary
  • Published 2019
  • Computer Science
  • PeerJ Comput. Sci.
  • Three-dimensional (3D) medical image classification is useful in applications such as disease diagnosis and content-based medical image retrieval. It is a challenging task due to several reasons. First, image intensity values are vastly different depending on the image modality. Second, intensity values within the same image modality may vary depending on the imaging machine and artifacts may also be introduced in the imaging process. Third, processing 3D data requires high computational power… CONTINUE READING
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