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12/15/2022
Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images
Nucleolar organizer regions (NORs) are parts of the DNA that are involve...
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11/30/2019
Fooling the Crowd with Deep Learning-based Methods
Modern, state-of-the-art deep learning approaches yield human like perfo...
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11/25/2019
Learning New Tricks from Old Dogs – Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment
For histopathological tumor assessment, the count of mitotic figures per...
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08/12/2019
Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides
Purpose: Exercise-induced pulmonary hemorrhage (EIPH) is a common syndro...
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02/12/2019
Field of Interest Prediction for Computer-Aided Mitotic Count
Manual counts of mitotic figures, which are determined in the tumor regi...
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10/22/2018
Field Of Interest Proposal for Augmented Mitotic Cell Count: Comparison of two Convolutional Networks
Most tumor grading systems for human as for veterinary histopathology ar...
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10/01/2018
Augmented Mitotic Cell Count using Field Of Interest Proposal
Histopathological prognostication of neoplasia including most tumor grad...
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02/07/2018
SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images
Large-scale image data such as digital whole-slide histology images pose...
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07/26/2017
