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20172021
most citedQuantifying the Scanner-Induced Domain Gap in Mitosis Detection

19 citations · 35 across the 9 of their papers we have counts for

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cs.CV202119 cited

Quantifying the Scanner-Induced Domain Gap in Mitosis Detection

Marc Aubreville, Christof Bertram, Mitko Veta +6

Automated detection of mitotic figures in histopathology images has seen vast improvements, thanks to modern deep learning-based pipelines. Application of these methods, however, i…

cs.CV2021

Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors

Christof A. Bertram, Taryn A. Donovan, Marco Tecilla +8

Tumor cells with two nuclei (binucleated cells, BiNC) or more nuclei (multinucleated cells, MuNC) indicate an increased amount of cellular genetic material which is thought to faci…

cs.CV2020

A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research

Marc Aubreville, Christof A. Bertram, Taryn A. Donovan +3

Canine mammary carcinoma (CMC) has been used as a model to investigate the pathogenesis of human breast cancer and the same grading scheme is commonly used to assess tumor malignan…

cs.CV2020

Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels

Christof A. Bertram, Mitko Veta, Christian Marzahl +4

Pathologist-defined labels are the gold standard for histopathological data sets, regardless of well-known limitations in consistency for some tasks. To date, some datasets on mito…

cs.CV20195 cited

Learning New Tricks from Old Dogs -- Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment

Marc Aubreville, Christof A. Bertram, Samir Jabari +3

For histopathological tumor assessment, the count of mitotic figures per area is an important part of prognostication. Algorithmic approaches - such as for mitotic figure identific…

cs.CV2019

Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region

Marc Aubreville, Christof A. Bertram, Christian Marzahl +9

Manual count of mitotic figures, which is determined in the tumor region with the highest mitotic activity, is a key parameter of most tumor grading schemes. It can be, however, st…