Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index

Artificial Intelligence in Medicine
Antonio Oseas de Carvalho FilhoMarcelo Gattass

Abstract

The present work has the objective of developing an automatic methodology for the detection of lung nodules. The proposed methodology is based on image processing and pattern recognition techniques and can be summarized in three stages. In the first stage, the extraction and reconstruction of the pulmonary parenchyma is carried out and then enhanced to highlight its structures. In the second stage, nodule candidates are segmented. Finally, in the third stage, shape and texture features are extracted, selected and then classified using a support vector machine. In the testing stage, with 140 new exams from the Lung Image Database Consortium image collection, 80% of which are for training and 20% are for testing, good results were achieved, as indicated by a sensitivity of 85.91%, a specificity of 97.70% and an accuracy of 97.55%, with a false positive rate of 1.82 per exam and 0.008 per slice and an area under the free response operating characteristic of 0.8062. Lung cancer presents the highest mortality rate in addition to one of the smallest survival rates after diagnosis. An early diagnosis considerably increases the survival chance of patients. The methodology proposed herein contributes to this diagnosis by being a useful ...Continue Reading

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Citations

Mar 10, 2016·Diagnostics·Diego M PeñaAbdeldime M S Abdelgader
Sep 1, 2014·Computers in Biology and Medicine·P Badura, E Pietka
Jul 15, 2015·Computer Methods and Programs in Biomedicine·R J KuoT J Yang
Oct 4, 2014·Journal of Digital Imaging·Joberth de Nazaré SilvaMarcelo Gattass
Jun 20, 2015·Computational and Mathematical Methods in Medicine·Liwei LiuJianghui Dong
Sep 3, 2016·Computer Methods and Programs in Biomedicine·Muzzamil JavaidSyed Irtiza Ali Shah
Oct 5, 2016·Medical & Biological Engineering & Computing·Antonio Oseas de Carvalho FilhoMarcelo Gattass
Oct 19, 2016·Medical & Biological Engineering & Computing·Antonio Oseas de Carvalho FilhoMarcelo Gattass
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Jun 7, 2020·Medical & Biological Engineering & Computing·Gustavo Perez, Pablo Arbelaez
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May 24, 2018·Medical & Biological Engineering & Computing·Robherson Wector de Sousa CostaMarcelo Gattass
May 21, 2017·Journal of Digital Imaging·Antonio Oseas de Carvalho FilhoMarcelo Gattass
Mar 12, 2021·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Dongdong GuZhong Xue
Jun 15, 2021·Pattern Recognition·Vitória de Carvalho BritoAntonio Oseas de Carvalho Filho

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