Diagnosis of lung nodule using Gini coefficient and skeletonization in computerized tomography images

Authors:
Aristófanes C. Silva;Paulo Cezar P. Carvalho;Marcelo Gattass
Affiliations:
Pontifical Catholic University of Rio de Janeiro - PUC-Rio R. Marquês de São Vicente, Rio de Janeiro, RJ, Brazil;Institute of Pure and Applied Mathematics - IMPA Estrada D. Castorina, 110, Rio de Janeiro, RJ, Brazil;Pontifical Catholic University of Rio de Janeiro - PUC-Rio R. Marquês de São Vicente, Rio de Janeiro, RJ, Brazil
Venue:
Proceedings of the 2004 ACM symposium on Applied computing
Year:
2004

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Abstract

This paper uses the Gini coefficient and a set of skeleton measures, with the purposes, with the purpose of characterizing lung nodules as malignant or benign in computerized tomography images.Based on a sample of 31 nodules, 25 benign and 6 malignant, these methods are first analyzed individually and then jointly, with classfication and analysis techniques (linear stepwise discriminant analysis, leave-one-out and ROC curve). We have concluded that the individual measures and their combinations produce good results in the diagnosis of lung nodules.