Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential. Gadermayr, M. & Tschuchnig, M. E. Comput. Medical Imaging Graph., 112:102337, 2024.
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential. [link]Link  Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential. [link]Paper  bibtex   
@article{journals/cmig/GadermayrT24,
  added-at = {2024-05-31T00:00:00.000+0200},
  author = {Gadermayr, Michael and Tschuchnig, Maximilian Ernst},
  biburl = {https://www.bibsonomy.org/bibtex/259d71283c46cd7e5dbdf3bef09730b3a/dblp},
  ee = {https://doi.org/10.1016/j.compmedimag.2024.102337},
  interhash = {acaacea1bd058c9b63856ee80703e852},
  intrahash = {59d71283c46cd7e5dbdf3bef09730b3a},
  journal = {Comput. Medical Imaging Graph.},
  keywords = {dblp},
  pages = 102337,
  timestamp = {2024-06-03T07:06:17.000+0200},
  title = {Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potential.},
  url = {http://dblp.uni-trier.de/db/journals/cmig/cmig112.html#GadermayrT24},
  volume = 112,
  year = 2024
}

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