Computer-aided detection of pulmonary nodules using dynamic self-adaptive template matching and a FLDA classifier

Highlights • A new CAD scheme for pulmonary nodule detection is proposed. • Dynamic self-adaptive template matching is used to detect nodules. • FLDA classifier can filter false positive detection nodules.

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Bibliographische Detailangaben
Veröffentlicht in:	Physica medica 2016-12, Vol.32 (12), p.1502-1509
Hauptverfasser:	Gong, Jing, Liu, Ji-yu, Wang, Li-jia, Zheng, Bin, Nie, Sheng-dong
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer-aided detection CT images Discriminant Analysis False Positive Reactions FLDA Humans Image Processing, Computer-Assisted Linear Models Lung Neoplasms - diagnostic imaging Pulmonary nodule Radiographic Image Interpretation, Computer-Assisted - methods Radiology Template matching Tomography, X-Ray Computed
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