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@inproceedings{617764, author = {Schwarz, Daniel and Provazník, Ivo}, address = {Gliwice}, booktitle = {VI International Conference PROCEEDINGS Symbiosis 2001.}, keywords = {3D visualization; CT; MR; multimodal registration; pattern recognition; segmentation; image processing}, location = {Gliwice}, isbn = {80-214-0893-6}, pages = {10-14}, publisher = {Silesian University of Technology}, title = {Statistically Based Segmentation of Medical Images and Their Visualisation}, year = {2001} }
TY - JOUR ID - 617764 AU - Schwarz, Daniel - Provazník, Ivo PY - 2001 TI - Statistically Based Segmentation of Medical Images and Their Visualisation PB - Silesian University of Technology CY - Gliwice SN - 8021408936 KW - 3D visualization KW - CT KW - MR KW - multimodal registration KW - pattern recognition KW - segmentation KW - image processing N2 - Visualisation of 3D medical images from CT and MR is the aim of this paper. As the interpretation of resulting images is a quite important problem for medical purposes segmentation techniques are included here too. They are demanded to be simple enough to prevent them making slower the whole process of visualisation. A volume rendering method called Ray casting is presented here as a suitable algorithm for visualisation voxel based medical image data. ER -
SCHWARZ, Daniel a Ivo PROVAZNÍK. Statistically Based Segmentation of Medical Images and Their Visualisation. In \textit{VI International Conference PROCEEDINGS Symbiosis 2001.}. Gliwice: Silesian University of Technology, 2001, s.~10-14. ISBN~80-214-0893-6.
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