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03/12/2023
Increasing the usefulness of already existing annotations through WSI registration
Computational pathology methods have the potential to improve access to ...
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11/24/2022
ACROBAT – a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology
The analysis of FFPE tissue sections stained with haematoxylin and eosin...
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06/27/2021
Using deep learning to detect patients at risk for prostate cancer despite benign biopsies
Background: Transrectal ultrasound guided systematic biopsies of the pro...
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04/19/2021
Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks
Molecular phenotyping by gene expression profiling is common in contempo...
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09/18/2020
Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer
Molecular phenotyping is central in cancer precision medicine, but remai...
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07/02/2019
