Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography

Abstract

OBJECTIVE We investigate the influence of the clinical context of high-resolution computed tomography (HRCT) images of the chest on tissue classification. METHODS AND MATERIALS 2D regions of interest in HRCT axial slices from patients affected with an interstitial lung disease are automatically classified into five classes of lung tissue. Relevance of the… (More)
DOI: 10.1016/j.artmed.2010.04.006

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