Detail publikace

Segmentation and Visualization of Medical Images with the Use of Multimodal Registration

Originální název

Segmentation and Visualization of Medical Images with the Use of Multimodal Registration

Anglický název

Segmentation and Visualization of Medical Images with the Use of Multimodal Registration

Jazyk

en

Originální abstrakt

Visualization of 3D medical images is usually accompanied by necessity of image data segmentation, in order to present interpretable resulting images. A method based on pattern recognition in multimodality images is proposed here. Results achieved by testing the proposed methods on images from Visible Human Project are presented.

Anglický abstrakt

Visualization of 3D medical images is usually accompanied by necessity of image data segmentation, in order to present interpretable resulting images. A method based on pattern recognition in multimodality images is proposed here. Results achieved by testing the proposed methods on images from Visible Human Project are presented.

BibTex


@inproceedings{BUT4791,
  author="Daniel {Schwarz} and Ivo {Provazník}",
  title="Segmentation and Visualization of Medical Images with the Use of Multimodal Registration",
  annote="Visualization of 3D medical images is usually accompanied by necessity of image data segmentation, in order to present interpretable resulting images. A method based on pattern recognition in multimodality images is proposed here. Results achieved by testing the proposed methods on images from Visible Human Project are presented.",
  address="Vutium Press",
  booktitle="Analysis of Biomedical Signals and Images",
  chapter="4791",
  edition="Analysis of Biomedical Signals and Images, Vol. 16",
  institution="Vutium Press",
  year="2002",
  month="november",
  pages="362",
  publisher="Vutium Press",
  type="conference paper"
}