A survey on deep learning in medical image analysis

@article{Litjens2017ASO,
  title={A survey on deep learning in medical image analysis},
  author={G. Litjens and Thijs Kooi and B. E. Bejnordi and A. A. A. Setio and F. Ciompi and M. Ghafoorian and J. V. D. Laak and B. Ginneken and C. S{\'a}nchez},
  journal={Medical image analysis},
  year={2017},
  volume={42},
  pages={
          60-88
        }
}
  • G. Litjens, Thijs Kooi, +6 authors C. Sánchez
  • Published 2017
  • Computer Science, Medicine
  • Medical image analysis
  • Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year. We survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks. Concise overviews are provided of studies per… CONTINUE READING
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