Algorithms for automatic detection of lung nodules in CT scans

The purpose of the work here presented consists in the evaluation of the performance of CAD (Computer Aided Detection) systems for automated lung nodule identification on multislice CT examinations based on different analysis approaches and on their combination. Three different CADe systems, the CAM...

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Main Authors: Fantacci, Maria Evelina, Camarlinghi, Niccolo, Gori, Ilaria, Bellotti, Roberto, Gargano, Gianfranco, Megna, Rosario, Torres, Ernesto Lopez, Cerello, Piergiorgio, Peroni, Cristiana, De Mitri, Ivan, De Nunzio, Giorgio, Retico, Alessandra
Format: Conference Proceeding
Language:English
Subjects:
Cancer
Computed tomography
Computer Aided Detection
Design automation
Lung Cancer
Lungs
Medical Image Analysis
Pattern Recognition
Solid modeling
Three dimensional displays
Transmission line matrix methods
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Summary:The purpose of the work here presented consists in the evaluation of the performance of CAD (Computer Aided Detection) systems for automated lung nodule identification on multislice CT examinations based on different analysis approaches and on their combination. Three different CADe systems, the CAM CAD (Channeler Ant Model), the RGVP CAD (Region Growing Volume Plateau) and the VBNA CAD (Voxel Based Neural Approach) were tested on public research datasets and evaluated in terms of FROC (Free-response Receiver Operating Characteristics) curves both individually and combined.
DOI:10.1109/MeMeA.2011.5966737