Research on Biomedical Engineering
Research on Biomedical Engineering
Original Article

Taxonomic indexes for differentiating malignancy of lung nodules on CT images

Silva, Giovanni Lucca França da; Carvalho Filho, Antonio Oseas de; Silva, Aristófanes Corrêa; Paiva, Anselmo Cardoso de; Gattass, Marcelo

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Introduction: Lung cancer remains the leading cause of cancer mortality worldwide, with one of the lowest survival rates after diagnosis. Therefore, early detection greatly increases the chances of improving patient survival. Methods: This study proposes a method for diagnosis of lung nodules in benign and malignant tumors based on image processing and pattern recognition techniques. Taxonomic indexes and phylogenetic trees were used as texture descriptors, and a Support Vector Machine was used for classification. Results: The proposed method shows promising results for accurate diagnosis of benign and malignant lung tumors, achieving an accuracy of 88.44%, sensitivity of 84.22%, specificity of 90.06% and area under the ROC curve of 0.8714. Conclusion: The results demonstrate the promising performance of texture extraction techniques by means of taxonomic indexes combined with phylogenetic trees. The proposed method achieves results comparable to those previously published.


Medical image, Lung nodule diagnosis, Texture analysis, Taxonomic indexes.


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