GeoS is a Windows application for interactive semi automated segmentation of medical images such as CT (Computed Tomography) and MR (Magnetic Resonance) scans.
How it works
The user indicates the region of interest (for example, an organ or a lesion) by quickly placing a brush stroke inside it. Then the algorithm computes the boundaries of the region of interest by using efficient 3D geodesic distance transforms.
GeoS is designed to be fast and to allow the user to quickly edit and correct possible inaccuracies with further foreground or background brush strokes.
The obtained segmentations can be saved to disk and used, for example, to measure volumes, to check lesion size progression in temporal studies, or to generate labelled data for training machine learning algorithms.
If you would like to know more about the features of GeoS or how to use it, please take a look at the user guide and tutorial videos.
If you would like to try out GeoS on your own, please download the installer for Windows (64 bit) and the sample dataset.
- Antonio Criminisi, Toby Sharp, and Andrew Blake, GeoS: Geodesic Image Segmentation, in Proc. European Conference on Computer Vision (ECCV), Springer, 2008.
To cite this work, please use the following reference:
- Antonio Criminisi, Toby Sharp, and Andrew Blake (2008) GeoS: Geodesic Image Segmentation, in D. Forsyth, P. Torr, and A. Zisserman (Eds.): ECCV 2008, Part I, LNCS 5302, pp. 99–112, Springer-Verlag Berlin Heidelberg