Assessment of glomerular morphological patterns by deep learning algorithms [research data]
Test data and models to the paper "Assessment of glomerular morphological patterns by deep learning algorithms". Different, from other groups, defi...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Dokumenttyp: | Datenbank Forschungsdaten |
| Sprache: | Englisch |
| Veröffentlicht: |
Heidelberg
Universität
2022-02-07
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| DOI: | 10.11588/data/JWZ2CK |
| Schlagworte: | |
| Online-Zugang: | Resolving-System, kostenfrei, Volltext: https://doi.org/10.11588/data/JWZ2CK Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/JWZ2CK 
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