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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....
Aug 20, 2018
Weis, Cleo-Aron, 2018, "Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome [Dataset]", https://doi.org/10.11588/data/XJAOC4, heiDATA, V1
Data used for the implementation of the proposed tumor budding detection In the publication “Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome” we described a multistep approach to detect tumor buds i...
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 [...
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