Pleural nodule identification in low-dose and thin-slice lung computed tomography

Abstract A completely automated system for the identification of pleural nodules in low-dose and thin-slice computed tomography (CT) of the lung has been developed. The directional-gradient concentration method has been applied to the pleura surface and combined with a morphological opening -based p...

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Veröffentlicht in:	Computers in biology and medicine 2009-12, Vol.39 (12), p.1137-1144
Hauptverfasser:	Retico, A, Fantacci, M.E, Gori, I, Kasae, P, Golosio, B, Piccioli, A, Cerello, P, De Nunzio, G, Tangaro, S
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer-aided detection (CAD) Databases, Factual Diagnosis, Computer-Assisted - methods Diagnosis, Computer-Assisted - statistics & numerical data Directional-gradient concentration False Positive Reactions Humans Imaging, Three-Dimensional Internal Medicine Low-dose computed tomography (LDCT) Lung Neoplasms - diagnosis Lung Neoplasms - diagnostic imaging Lung nodule Morphological operators Neural networks Other Pattern Recognition, Automated Radiographic Image Interpretation, Computer-Assisted - methods ROC Curve Solitary Pulmonary Nodule - diagnosis Solitary Pulmonary Nodule - diagnostic imaging Thin-slice CT Tomography, X-Ray Computed - methods Tomography, X-Ray Computed - statistics & numerical data
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