Random forest based lung nodule classification aided by clustering

Abstract An automated lung nodule detection system can help spot lung abnormalities in CT lung images. Lung nodule detection can be achieved using template-based, segmentation-based, and classification-based methods. The existing systems that include a classification component in their structures ha...

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Veröffentlicht in:	Computerized medical imaging and graphics 2010-10, Vol.34 (7), p.535-542
Hauptverfasser:	Lee, S.L.A, Kouzani, A.Z, Hu, E.J
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification aided by clustering Cluster Analysis Ensemble classification Humans Internal Medicine Lung - diagnostic imaging Lung images Other Pattern Recognition, Automated Pulmonary nodules Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Solitary Pulmonary Nodule - classification Solitary Pulmonary Nodule - diagnostic imaging Tomography, X-Ray Computed
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