Improved computer recognition of Fuhrman grading system in analysis of Clear-Cell Renal Carcinoma
Michał Kruk , Jarosław Kurek , Stanisław Osowski , Robert Koktysz
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.
|Journal series||Computational Vision and Medical Image Processing V - Proceedings of 5th Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VipIMAGE 2015|
|Publication size in sheets||0.5|
|Score|| = 0.0, 29-06-2020, ArticleFromJournal|
= 0.0, 29-06-2020, ArticleFromJournal
|Publication indicators||= 2|
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