Improved computer recognition of Fuhrman grading system in analysis of Clear-Cell Renal Carcinoma

Michał Kruk , Jarosław Kurek , Stanisław Osowski , Robert Koktysz

Abstract

The paper presents the improved system of recognition of the Fuhrman grading in the analysis of clear-cell renal carcinoma. The previous system was described in (Kruk et al. 2014). The proposed improvement is based on the new segmentation method which gives better results. A redundant wavelet transformation is used for denoising the image and enhancing the edges in multiple levels of resolution. The image gradient is estimated using the wavelet transformation. The watershed transform is then applied to the obtained gradient image, thanks to this the segmented regions that do not satisfy specific criteria are removed.

Author Michał Kruk (FoEE / ITEEMIS) - Warsaw University of Life Science (SGGW)
Michał Kruk,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
, Jarosław Kurek - [Szkola Glowna Gospodarstwa Wiejskiego]
Jarosław Kurek,,
-
-
, Stanisław Osowski (FoEE / ITEEMIS)
Stanisław Osowski,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
, Robert Koktysz - [Centralny Szpital Kliniczny Wojskowej Akademii Medycznej z Poliklinika]
Robert Koktysz,,
-
-
Journal seriesComputational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015
Issue year2016
Pages221-226
Publication size in sheets0.5
Languageen angielski
Score (nominal)0
Score sourcejournalList
ScoreMinisterial score = 0.0, 29-06-2020, ArticleFromJournal
Ministerial score (2013-2016) = 0.0, 29-06-2020, ArticleFromJournal
Publication indicators Scopus Citations = 2
Citation count*
Cite
Share Share

Get link to the record


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back
Confirmation
Are you sure?