Retrieval of Pulmonary Nodules by Content: A Radiomics Approach in Reproducible Research

• Marcelo Costa Oliveira UFAL
• David Jones Ferreira de Lucena UFAL
• Ailton Felix UFAL

DOI: https://doi.org/10.5753/sbcas.2017.3723

Abstract

Early diagnosis and treatment of lung cancer are effective forms of ensure the patient’s life. However, the detection and classification of lung nodules are challenging tasks for the specialists, because the nodules are small and have low contrast. The purpose of this work was to evaluate the precision of the 3D Shape and 3D Intensity attributes associated with Margin Sharpness and 3D Texture attributes available in a reproducible research context. The attributes created a 66-dimensional Radiomics vector that was applied to the content-based image retrieval.The algorithm showed precision of the 0.841 and 0.803 in the retrieval of benign and malignant nodules, respectively.

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