6 citations · 12 across the 3 of their papers we have counts for
3 papers
DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks
Dominik Müller, Philip Meyer, Lukas Rentschler +8
Advances in digital pathology and artificial intelligence (AI) offer promising opportunities for clinical decision support and enhancing diagnostic workflows. Previous studies alre…
Nucleus Segmentation and Analysis in Breast Cancer with the MIScnn Framework
Adrian Pfleiderer, Dominik Müller, Frank Kramer
The NuCLS dataset contains over 220.000 annotations of cell nuclei in breast cancers. We show how to use these data to create a multi-rater model with the MIScnn Framework to autom…
Assessing the Role of Random Forests in Medical Image Segmentation
Dennis Hartmann, Dominik Müller, Iñaki Soto-Rey +1
Neural networks represent a field of research that can quickly achieve very good results in the field of medical image segmentation using a GPU. A possible way to achieve good resu…