Digital Pathology - New Approaches to the Automated Image Analysis of Histologic Slides
Internally funded project
Start date : 16.01.2017
Project details
Short description
The pathologist is still the gold standard in the diagnosis of diseases in tissue slides. Due to its human nature, the pathologist is on one side able to flexibly adapt to the high morphological and technical variability of histologic slides but of limited objectivity due to cognitive and visual traps.
In diverse project we are applying and validating currently available tools and solutions in digital pathology but are also developing new solution in automated image analysis to complement and improve the pathologist especially in areas of quantitative image analysis.
Scientific Abstract
The pathologist is still the gold standard in the diagnosis of diseases in tissue slides. Due to its human nature, the pathologist is on one side able to flexibly adapt to the high morphological and technical variability of histologic slides but of limited objectivity due to cognitive and visual traps.
In diverse project we are applying and validating currently available tools and solutions in digital pathology but are also developing new solution in automated image analysis to complement and improve the pathologist especially in areas of quantitative image analysis.
Involved:
Andreas Maier
Project Leader
Marc Aubreville
Project Leader
Samir Jabari
Project Member
Christian Marzahl
Project Member
Contributing FAU Organisations:
Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)
Institute of Neuropathology
Lehrstuhl für Informatik 5 (Mustererkennung)
