Artificial convolution neural network techniques and applications for lung nodule detection

@article{Lo1995ArtificialCN,
  title={Artificial convolution neural network techniques and applications for lung nodule detection},
  author={Shih-Chung Ben Lo and Shyh-Liang A. Lou and Jyh-Shyan Lin and Matthew T. Freedman and Minze V. Chien and Seong Ki Mun},
  journal={IEEE transactions on medical imaging},
  year={1995},
  volume={14 4},
  pages={
          711-8
        }
}
  • Shih-Chung Ben Lo, Shyh-Liang A. Lou, +3 authors Seong Ki Mun
  • Published in IEEE Trans. Med. Imaging 1995
  • Computer Science, Medicine
  • IEEE transactions on medical imaging
  • We have developed a double-matching method and an artificial visual neural network technique for lung nodule detection. This neural network technique is generally applicable to the recognition of medical image pattern in gray scale imaging. The structure of the artificial neural net is a simplified network structure of human vision. The fundamental operation of the artificial neural network is local two-dimensional convolution rather than full connection with weighted multiplication. Weighting… CONTINUE READING

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