ICIAR 2018 BACH-Challenge
We are currently competing in the ICIAR Challenge 2018
What is it all about?
Histopathological tissue analysis lays the foundation in clinical diagnostics and decision making. Manual examination of histological slide occupies a massive amount of time even for experienced pathologists every day.
Automation, guidance as well as aidance in digital histopathological slide evaluation with high quality results, would lift a heavy burden for pathologists and for our health system in general.
Recent publications have already shown the potential of deep neural networks to match and even outperform experienced physicians in various fields and in particular in digital (histo)pathology.
In order to adress the challenge of automated classification of four different histopathological tissue types into the respective classes we evaluated a convolutional neuronal network in a supervised learning approach.