Karhunen-Loeve Analysis of Dynamic Sequences of Thermographic Images for Early Breast Cancer Detection

Abstract

The Karhunen-Loeve transform (KLT) is applied to the analysis of dynamic sequences of thermograms describing the temporal evolution of body surface temperature following the application of an external thermal stimulus. The KLT may be evaluated either along the spatial or temporal dimensions of the data; the duality of both representations is emphasized. An example is presented to illustrate that the KLT allows an efficient data reduction and facilities tumor detection by highlighting physiologically important abnormalities in the time behavior of thermal patterns.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Unser et al. "Karhunen-Loeve Analysis of Dynamic Sequences of Thermographic Images for Early Breast Cancer Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196296

Markdown

[Unser et al. "Karhunen-Loeve Analysis of Dynamic Sequences of Thermographic Images for Early Breast Cancer Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/unser1988cvpr-karhunen/) doi:10.1109/CVPR.1988.196296

BibTeX

@inproceedings{unser1988cvpr-karhunen,
  title     = {{Karhunen-Loeve Analysis of Dynamic Sequences of Thermographic Images for Early Breast Cancer Detection}},
  author    = {Unser, Michael and Van hamme, Hugo and de Muynck, Patrick and Van Denhaute, E. and Cornelis, Jan},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1988},
  pages     = {592-596},
  doi       = {10.1109/CVPR.1988.196296},
  url       = {https://mlanthology.org/cvpr/1988/unser1988cvpr-karhunen/}
}