Institute of Pathology Mannheim

Data publications from the Institute of Pathology Mannheim at the Medical Faculty Mannheim (Heidelberg University).

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11 to 20 of 71 Results

WordsPerCluster_top2vec.xlsxUnpublished Jun 2, 2022 - NLP in Diagnostic Texts from Nephropathology [Research Data] MS Excel Spreadsheet - 26.9 KB - MD5: 90c525cece2a56f3b48b3a1a358e36f2
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...
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 [...
model_alex.pt Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data] Unknown - 221.5 MB - MD5: 9dc706ae346e67dc1bafd73159279e6c
model_densenet121.pt Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data] Unknown - 27.1 MB - MD5: 784a68762bf7f8cf8d68e68dd34178c6
model_inception.pt Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data] Unknown - 96.2 MB - MD5: 84f74583b9067e6641f698be0610cf81
model_ResNet101.pt Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data] Unknown - 162.8 MB - MD5: 282550f75a2e09a0714cb537fdb7cd00
model_ResNet152.pt Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data] Unknown - 222.7 MB - MD5: 71ee8371caa5e1e3704a6ebd12f1182e
model_ResNet18.pt Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data] Unknown - 42.7 MB - MD5: 3f9c6739cf116a58426cb18911147fc9
model_ResNet34.pt Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data] Unknown - 81.3 MB - MD5: 8f56bdd08994999e80ec032760f63b3c

WordsPerCluster_top2vec.xlsxUnpublished

Jun 2, 2022 - NLP in Diagnostic Texts from Nephropathology [Research Data]

MS Excel Spreadsheet - 26.9 KB -

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...

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 [...

model_alex.pt

Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]

Unknown - 221.5 MB -

model_densenet121.pt

Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]

Unknown - 27.1 MB -

model_inception.pt

Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]

Unknown - 96.2 MB -

model_ResNet101.pt

Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]

Unknown - 162.8 MB -

model_ResNet152.pt

Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]

Unknown - 222.7 MB -

model_ResNet18.pt

Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]

Unknown - 42.7 MB -

model_ResNet34.pt

Feb 7, 2022 - Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]

Unknown - 81.3 MB -

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