21 to 30 of 71 Results
Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Unknown - 90.0 MB -
MD5: e7e203542b5256f9e502aeca5602cfb6
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Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Unknown - 2.9 MB -
MD5: 2bfd1d3496d51b4e54e18fe074f6f9bb
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Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Unknown - 495.2 MB -
MD5: 3759625b4c2291f533c5f2fa056cc252
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Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Unknown - 516.2 MB -
MD5: 6532f1a0ad62c3e2ffff1b6a0e973c80
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Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
Unknown - 536.5 MB -
MD5: 162e8b5ca31b7c77ed16356552d8d0ae
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Feb 7, 2022 -
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]
ZIP Archive - 45.5 MB -
MD5: 022104d0dde8560611728063a1cbccfd
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Jul 27, 2021
Runz, Marlen; Weis, Cleo-Aron, 2021, "Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]", https://doi.org/10.11588/data/8LKEZF, heiDATA, V1
Here we provide the data sets supporting the experiments in our publication Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks, which were collected at the Institute of Pathology, Medical Faculty Mannheim, Heidelberg University.... |
Jul 27, 2021 -
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]
PNG Image - 1.5 MB -
MD5: bcc0ba19460e3f5f359ad2c7a68c1d06
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Jul 27, 2021 -
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]
PNG Image - 247.6 KB -
MD5: 45c8f41d59e14aa1904054ac34508195
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Jul 27, 2021 -
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]
ZIP Archive - 3.2 GB -
MD5: 2011d61c593860ffe377c234c16a2832
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