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.
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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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