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Biocybernetics and Biomedical Engineering

Tytuł artykułu

Ensemble of classifiers and wavelet transformation for improved recognition of Fuhrman grading in clear-cell renal carcinoma

Autorzy Kruk, M.  Kurek, J.  Osowski, S.  Koktysz, R.  Swiderski, B.  Markiewicz, T. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
EN The paper presents an improved system to recognition of Fuhrman grading in clear-cell renal carcinoma using an ensemble of classifiers. The novelty of solution includes the segmentation applying wavelet transformation in preprocessing stage, application of few selection methods for feature generation and using the ensemble of classifiers in final recognition step. The wavelet transformation is a very efficient tool for image de-noising and enhancing the edges of cell nuclei. The important distinction to other approaches is that diagnostic features of nuclei, based on the texture, geometry, color and histogram, are selected by using few methods, each relying on different mechanism of selection. These different sets of features have enabled creating the ensemble of classifiers based on the support vector machine and random forest, both cooperating with them. Such approach has led to the significant increase of the quality factors in comparison to the best existing results: sensitivity (the average of this solution 94.3% compared to 91.5%) and specificity (the average 98.6% compared to 97.5%.
Słowa kluczowe
PL zespół klasyfikatorów   selekcja cech   skala Fuhrmana   transformacja falkowa   SVM   las losowy  
EN ensemble of classifiers   feature selection   Fuhrman grading   wavelet transformation   SVM   random forest  
Wydawca Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences
Czasopismo Biocybernetics and Biomedical Engineering
Rocznik 2017
Tom Vol. 37, no. 3
Strony 357--364
Opis fizyczny Bibliogr. 33 poz., rys., tab., wykr.
autor Kruk, M.
  • Warsaw University of Life Sciences, Warsaw, Poland
autor Kurek, J.
  • Warsaw University of Life Sciences, Warsaw, Poland
autor Osowski, S.
  • Warsaw University of Technology, 00-661 Warsaw, Koszykowa 75, Poland; Military University of Technology, Warsaw, Poland,
autor Koktysz, R.
  • Military Institute of Medicine, Warsaw, Poland
autor Swiderski, B.
  • Warsaw University of Life Sciences, Warsaw, Poland
autor Markiewicz, T.
  • Warsaw University of Technology, Warsaw, Poland; Military Institute of Medicine, Warsaw, Poland
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PL Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-0d5ca5bb-7826-410e-9c4e-a6f01706ffef
DOI 10.1016/j.bbe.2017.04.005