Detail publikace

Using Perona-Malik Filtering to Detect the Transition between an Embryogenic Tissue and a Culture Medium in MRI Images

Originální název

Using Perona-Malik Filtering to Detect the Transition between an Embryogenic Tissue and a Culture Medium in MRI Images

Anglický název

Using Perona-Malik Filtering to Detect the Transition between an Embryogenic Tissue and a Culture Medium in MRI Images

Jazyk

en

Originální abstrakt

In this paper, the Perona-Malik (PM) filtering method is applied to MRI images of an embryogenic tissue. The filtering enables us to reduce the noise and to preserve the shape of the narrow transition between the given tissue and the related culture medium. For comparison, Gaussian filtering is used as well; this technique then shows an SNR nearly twice higher than that obtained with PM. The following stage consists in segmenting the transition region and employing selectivity and specificity to compare the results. The segmentation via PM filtering yielded the selectivity value of 93.8 %.

Anglický abstrakt

In this paper, the Perona-Malik (PM) filtering method is applied to MRI images of an embryogenic tissue. The filtering enables us to reduce the noise and to preserve the shape of the narrow transition between the given tissue and the related culture medium. For comparison, Gaussian filtering is used as well; this technique then shows an SNR nearly twice higher than that obtained with PM. The following stage consists in segmenting the transition region and employing selectivity and specificity to compare the results. The segmentation via PM filtering yielded the selectivity value of 93.8 %.

BibTex


@inproceedings{BUT144329,
  author="Jiří {Sliž}",
  title="Using Perona-Malik Filtering to Detect the Transition between an Embryogenic Tissue and a Culture Medium in MRI Images",
  annote="In this paper, the Perona-Malik (PM) filtering method is applied to MRI images of an embryogenic tissue. The filtering enables us to reduce the noise and to preserve the shape of the narrow transition between the given tissue and the related culture medium. For comparison, Gaussian filtering is used as well; this technique then shows an SNR nearly twice higher than that obtained with PM. The following stage consists in segmenting the transition region and employing selectivity and specificity to compare the results. The segmentation via PM filtering yielded the selectivity value of 93.8 %.",
  booktitle="International Interdisciplinary PhD Workshop 2017 Proceedings",
  chapter="144329",
  howpublished="online",
  year="2017",
  month="september",
  pages="64--69",
  type="conference paper"
}