no code implementations • 12 Mar 2018 • Jan Egger, Xiaojun Chen, Lucas Bettac, Mark Hänle, Tilmann Gräter, Wolfram Zoller, Dieter Schmalstieg, Alexander Hann
Ultimately, the algorithm enables a fast and accurate segmentation of liver metastasis in clinical US images, which can support the manual outlining in daily practice.
no code implementations • 9 Oct 2017 • Alexander Hann, Lucas Bettac, Mark M. Haenle, Tilmann Graeter, Andreas W. Berger, Jens Dreyhaupt, Dieter Schmalstieg, Wolfram G. Zoller, Jan Egger
In this work, we present the application of an algorithm for the segmentation of liver metastases due to pancreatic cancer using a set of 105 different images of metastases.
no code implementations • 18 Apr 2017 • Jan Egger, Dieter Schmalstieg, Xiaojun Chen, Wolfram G. Zoller, Alexander Hann
In this contribution, we present the results of an interactive segmentation approach for liver metastases in US acquisitions.
no code implementations • 2 Mar 2016 • Jan Egger, Philip Voglreiter, Mark Dokter, Michael Hofmann, Xiaojun Chen, Wolfram G. Zoller, Dieter Schmalstieg, Alexander Hann
We present an interactive segmentation approach for liver tumors in US acquisitions.
no code implementations • 21 Oct 2015 • Jan Egger, Harald Busse, Philipp Brandmaier, Daniel Seider, Matthias Gawlitza, Steffen Strocka, Philip Voglreiter, Mark Dokter, Michael Hofmann, Bernhard Kainz, Alexander Hann, Xiaojun Chen, Tuomas Alhonnoro, Mika Pollari, Dieter Schmalstieg, Michael Moche
The visual feedback and interactivity make the proposed tool well suitable for the clinical workflow.