A classification-based segmentation of cDNA microarray images using Support Vector machines

@article{Giannakeas2008ACS,
  title={A classification-based segmentation of cDNA microarray images using Support Vector machines},
  author={Nikolaos Giannakeas and Petros S. Karvelis and Dimitrios I. Fotiadis},
  journal={2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2008},
  pages={875-878}
}
Microarray technology provides a tool for the simultaneous analysis of the expression level for an amount of genes. Microarray studies have been shown that image processing techniques can significantly influence microarray data precision. In this paper we propose a supervised method for the segmentation of microarray images based on classification techniques. Support Vector machine is employed to classify each pixel of the image into signal, background or artefacts. In addition, a preprocessing… CONTINUE READING