Similar image search for histopathology: SMILY

@article{Hegde2019SimilarIS,
  title={Similar image search for histopathology: SMILY},
  author={N. Hegde and J. Hipp and Y. Liu and M. Emmert-Buck and Emily Reif and D. Smilkov and M. Terry and C. J. Cai and M. Amin and Craig H. Mermel and Phil Q. Nelson and L. Peng and G. Corrado and Martin C. Stumpe},
  journal={NPJ Digital Medicine},
  year={2019},
  volume={2}
}
  • N. Hegde, J. Hipp, +11 authors Martin C. Stumpe
  • Published 2019
  • Computer Science, Biology, Medicine
  • NPJ Digital Medicine
  • The increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Although these datasets typically have associated metadata such as diagnosis or clinical notes, even carefully curated datasets rarely contain annotations of the location of regions of interest on each image. As pathology images are extremely large (up to 100,000 pixels in each dimension), further laborious visual search… CONTINUE READING
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