3 citations · 5 across the 3 of their papers we have counts for
3 papers · 1 filter
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer
Dominik Müller, Philip Meyer, Lukas Rentschler +10
Prostate cancer is a dominant health concern calling for advanced diagnostic tools. Utilizing digital pathology and artificial intelligence, this study explores the potential of 11…
Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models
Dominik Müller, Iñaki Soto-Rey, Frank Kramer
Preventable or undiagnosed visual impairment and blindness affect billion of people worldwide. Automated multi-disease detection models offer great potential to address this proble…
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net
Dominik Müller, Iñaki Soto Rey, Frank Kramer
The coronavirus disease 2019 (COVID-19) affects billions of lives around the world and has a significant impact on public healthcare. Due to rising skepticism towards the sensitivi…