1 to 10 of 26 Results
Feb 7, 2022
Weis, Cleo-Aron, 2022, "Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]", https://doi.org/10.11588/data/JWZ2CK, heiDATA, V1
Test data and models to the paper "Assessment of glomerular morphological patterns by deep learning algorithms". Different, from other groups, defined CNN-models (saved as .pt-files) are trained to identify nine predefined patterns of glomerular changes. The models are: AlexNet [... |
Unknown - 643.3 KB -
MD5: a19cdc76bc8ab46a537f960090d2d88e
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Unknown - 855.1 KB -
MD5: c03a0fcc69311600963d880bbe5c4a65
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Unknown - 309.4 KB -
MD5: 7e425f06b877a6ed71d0a39b019fa2ae
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Unknown - 464.2 KB -
MD5: 574b645597c81bcb415d72453a63098f
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Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Unknown - 221.5 MB -
MD5: 9dc706ae346e67dc1bafd73159279e6c
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Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Unknown - 27.1 MB -
MD5: 784a68762bf7f8cf8d68e68dd34178c6
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Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Unknown - 96.2 MB -
MD5: 84f74583b9067e6641f698be0610cf81
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Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Unknown - 162.8 MB -
MD5: 282550f75a2e09a0714cb537fdb7cd00
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Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Unknown - 222.7 MB -
MD5: 71ee8371caa5e1e3704a6ebd12f1182e
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