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InstantDL - An easy-to-use deep learning pipeline for image segmentation and classification
View ORCID ProfileDominik Waibel, View ORCID ProfileSayedali Shetab Boushehri, View ORCID ProfileCarsten Marr
doi: https://doi.org/10.1101/2020.06.22.164103
Dominik Waibel
1Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
2Technical University of Munich, School of Life Sciences, Weihenstephan, Germany
Sayedali Shetab Boushehri
1Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
3Roche Innovation Center Munich, Roche Diagnostics GmbH, Penzberg, Germany
Carsten Marr
1Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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Posted July 02, 2020.
InstantDL - An easy-to-use deep learning pipeline for image segmentation and classification
Dominik Waibel, Sayedali Shetab Boushehri, Carsten Marr
bioRxiv 2020.06.22.164103; doi: https://doi.org/10.1101/2020.06.22.164103
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