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