Siemens Healthineers Ag

Georg-august-universitaet Goettingen Stiftung Oeffentlichen Rechts Universitaetsmedizin Goettingen

Marvin Teichmann

Sasa Grbic

Siqi Liu

Arnaud Arindra Adiyoso

Andre Aichert

Tobias Heimann

Hanibal Bohnenberger

André Aichert

Florin-Cristian Ghesu

One or more example embodiments are methods and corresponding systems for providing a training data set for training a segmentation algorithm for segmenting whole-slide images in digital pathology as well as the use of the training data and corresponding ML segmentation algorithms. For example, a first segmentation of a whole slide image is refined based on an automatically generated annotation which has a higher level of detail than the first segmentation. A second segmentation results, which may be used as a ground truth for training the ML segmentation algorithm on the basis of the whole slide image.

Methods and systems for providing training data sets for training a machine-learned segmentation algorithm for use in digital pathology

Growing community of inventors

Erlangen, Germany

Marvin Teichmann