Texture analysis of lung nodules in computerized tomography images using functional diversity

•An automatic method for reduction of false positives in pulmonary nodule CT images.•A new method for characterization of texture.•Proposal of a unique texture descriptor based on functional diversity indexes.•Tests were applied to a set of 24148 VOIs. Although lung cancer is one of the leading caus...

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Veröffentlicht in:	Computers & electrical engineering 2020-06, Vol.84, p.106618-11, Article 106618
Hauptverfasser:	de Oliveira Torres, William, de Carvalho Filho, Antônio Oseas, de Andrade Lira Rabêlo, Ricardo, Veloso e Silva, Romuere Rodrigues
Format:	Artikel
Sprache:	eng
Schlagworte:	Computed tomography Error detection Functional diversity Lung cancer Medical image Medical imaging Nodules Texture analysis Tomography
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