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...
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| Main Author: | |
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| Format: | Database Research Data |
| Language: | English |
| Published: |
Heidelberg
Universität
2022-02-07
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| DOI: | 10.11588/data/JWZ2CK |
| Subjects: | |
| Online Access: | 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 |
| Author Notes: | Cleo-Aron Weis |
| Summary: | Test data and models to the paper "Assessment of glomerular morphological patterns by deep learning algorithms". Different, from other groups, defi... |
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| Item Description: | Gesehen am 07.02.2022 |
| Physical Description: | Online Resource |
| DOI: | 10.11588/data/JWZ2CK |