Talks and Poster Presentations (with Proceedings-Entry):

P. Dvorak, W. Kropatsch:
"Detection of Brain Tumors Based on Automatic Symmetry Analysis";
Talk: CVWW 2013, 18th Computer Vision Winter Workshop, Hernstein, Austria (invited); 2013-02-04 - 2013-02-06; in: "Proceedings of the 18th Computer Vision Winter Workshop 2013", W. Kropatsch, F. Torres Garcia, G. Ramachandran (ed.); PRIP, Wien (2013), ISBN: 978-3-200-02943-9; 24 - 31.

English abstract:
This article focuses on the detection of a
brain tumor location in magnetic resonance images.
The aim of this work is not the precise segmentation
of the tumor and its parts but only the detection of
its approximate location. It will be used in future
work for more accurate segmentation. For this rea-
son, it also does not deal with detecting of the im-
ages containing the tumor. The algorithm expects a
2D T2-weighted magnetic resonance image of brain
containing a tumor. The detection is based on lo-
cating the area that breaks the left-right symmetry of
the brain. The created algorithm was tested on 73
images containing tumor, tumor with edema or only
edema. These pathological structures had various
sizes and shapes and were located in various parts
of the brain.

Created from the Publication Database of the Vienna University of Technology.