6 citations · 6 across the 2 of their papers we have counts for
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cs.CV2020★ 6 cited
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data
Nastassya Horlava, Alisa Mironenko, Sebastian Niehaus +3
In recent years, Convolutional Neural Networks (CNNs) have become the state-of-the-art method for biomedical image analysis. However, these networks are usually trained in a superv…
eess.IV2020
An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnostics
Sarah Schmell, Falk Zakrzewski, Walter de Back +10
Histo-pathological diagnostics are an inherent part of the everyday work but are particularly laborious and associated with time-consuming manual analysis of image data. In order t…