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Subject: Medicine, Health and Life Sciences Author Name: Weis, Cleo-Aron

1 to 4 of 4 Results

Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset] Jul 27, 2021 - Institute of Pathology Mannheim 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....
NLP in Diagnostic Texts from Nephropathology [Research Data] May 27, 2022 - Institute of Pathology Mannheim Legnar, Maximilian; Daumke, Philipp; Hesser, Jürgen; Porubsky, Stefan; Popovic, Zoran; Bindzus, Jan Niklas; Siemoneit, Joern-Helge; Weis, Cleo-Aron, 2022, "NLP in Diagnostic Texts from Nephropathology [Research Data]", https://doi.org/10.11588/data/KS5W0H, heiDATA, V1 This data set contains all annotated topic word tables from the work "NLP in Diagnostic Texts from Nephropathology", as well as all pre-processed and tf-idf-vectorized text files. The raw texts (i.e., descriptive and diagnostic sections) are explicitly not made available, since i...
Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome [Dataset] Aug 20, 2018 - Institute of Pathology Mannheim 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...
Assessment of glomerular morphological patterns by deep learning algorithms [Research Data] Feb 7, 2022 - Institute of Pathology Mannheim 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 [...

Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset]

Jul 27, 2021 - Institute of Pathology Mannheim

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....

NLP in Diagnostic Texts from Nephropathology [Research Data]

May 27, 2022 - Institute of Pathology Mannheim

Legnar, Maximilian; Daumke, Philipp; Hesser, Jürgen; Porubsky, Stefan; Popovic, Zoran; Bindzus, Jan Niklas; Siemoneit, Joern-Helge; Weis, Cleo-Aron, 2022, "NLP in Diagnostic Texts from Nephropathology [Research Data]", https://doi.org/10.11588/data/KS5W0H, heiDATA, V1

This data set contains all annotated topic word tables from the work "NLP in Diagnostic Texts from Nephropathology", as well as all pre-processed and tf-idf-vectorized text files. The raw texts (i.e., descriptive and diagnostic sections) are explicitly not made available, since i...

Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome [Dataset]

Aug 20, 2018 - Institute of Pathology Mannheim

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...

Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]

Feb 7, 2022 - Institute of Pathology Mannheim

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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