31 to 40 of 71 Results
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 - 27.1 MB -
MD5: 784a68762bf7f8cf8d68e68dd34178c6
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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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May 18, 2018
Cleo-Aron Weis, 2018, "Histopathology of thymectomy specimens from the MGTX-trial", https://doi.org/10.11588/data/NWE2JJ, heiDATA, V1, UNF:6:Od2UlnHG3ctanb4ikzIx4g== [fileUNF]
Background: The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up: Work-up... |
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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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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TIFF Image - 7.4 MB -
MD5: 3a4d78e44ac5869ec75d575c5caa7f75
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TIFF Image - 7.4 MB -
MD5: fa2f8a145781bbd05b4dcac221f9ddf4
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TIFF Image - 7.4 MB -
MD5: c705b694e18d8ce41bd3f82a9bd492c1
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