Analysis of the Influence of Color Normalization in the Classification of Non-Hodgkin Lymphoma Images
Nenhuma Miniatura disponível
Data
2019-01-15
Autores
Goncalves Ribeiro, Matheus [UNESP]
Alves Neves, Leandro [UNESP]
Freire Roberto, Guilherme
Tosta, Thaina A. A.
Martins, Alessandro S.
Do Nascimento, Marcelo Z.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Resumo
In this work, a method is proposed to analyze the influence of color normalization in the classification lymphoma images. The approach combines multidimensional fractal techniques, curvelet transforms and Haralick features. The method considered a feature selection technique and different classification approaches to evaluate the combinations, such as decision tree, random forest, support vector machine, naive bayes and k-star. The classifications were analyzed considering three common lymphoma classes: mantle cell lymphoma, follicular lymphoma and chronic lymphocytic leukemia. The best result was achieved for the extraction from input images, features obtained mostly from lacunarity and percolation from curvelet sub-images, using random forest classifier. The tests were considered with 10-fold cross-validation and the result was a rate of AUC=0.963. The color normalization was not able to provide relevant classification rates. The obtained performance with the analysis over different types of features, classifiers and color normalization influence are important contributions to the identification of the lymphoma cancer.
Descrição
Palavras-chave
Analysis of the Influence, classification, color normalization, non Hodgkin Lymphoma
Como citar
Proceedings - 31st Conference on Graphics, Patterns and Images, SIBGRAPI 2018, p. 369-376.