Institute of Pathology Mannheim

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1 to 5 of 5 Results

Assessment of glomerular morphological patterns by deep learning algorithms [Research Data] 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 [...
Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome [Dataset] 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...
Histopathology of thymectomy specimens from the MGTX-trial 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...
NLP in Diagnostic Texts from Nephropathology [Research Data] May 27, 2022 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...
Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial Networks [Dataset] 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....

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

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 [...

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

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...

Histopathology of thymectomy specimens from the MGTX-trial

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...

NLP in Diagnostic Texts from Nephropathology [Research Data]

May 27, 2022

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...

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

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....

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