259 citations · 771 across the 27 of their papers we have counts for
3 papers · 1 filter
Client/Server Based Online Environment for Manual Segmentation of Medical Images
Daniel Wild, Maximilian Weber, Jan Egger
Segmentation is a key step in analyzing and processing medical images. Due to the low fault tolerance in medical imaging, manual segmentation remains the de facto standard in this…
Exploit fully automatic low-level segmented PET data for training high-level deep learning algorithms for the corresponding CT data
Christina Gsaxner, Peter M. Roth, Jürgen Wallner +1
We present an approach for fully automatic urinary bladder segmentation in CT images with artificial neural networks in this study. Automatic medical image analysis has become an i…
Computed tomography data collection of the complete human mandible and valid clinical ground truth models
Jürgen Wallner, Irene Mischak, Jan Egger
Image-based algorithmic software segmentation is an increasingly important topic in many medical fields. Algorithmic segmentation is used for medical three-dimensional visualizatio…