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From Point to Local Neighborhood: Polyp Detection in CT Colonography Using Geodesic Ring Neighborhoods

Date

Authors

Ong, Ju

Seghouane, Abd-Krim

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

Existing polyp detection methods rely heavily on curvature-based characteristics to differentiate between lesions. These assume that the discrete triangulated surface mesh or volume closely approximates a smooth continuous surface. However, this is often

Keywords

Keywords: CAD; computed tomography (CT); curvature; geodesic distance; geometry processing; polyp detection; shape analysis; Geodesy; Computerized tomography; algorithm; article; artificial intelligence; automated pattern recognition; colon polyp; computed tomograp CAD; computed tomography (CT); curvature; geodesic distance; geometry processing; polyp detection; shape analysis

URI

http://hdl.handle.net/1885/68576

Collections

ANU Research Publications

Source

IEEE Transactions on Image Processing

Type

Journal article

DOI

10.1109/TIP.2010.2076295

Restricted until

2037-12-31

Downloads

File

Description

01_Ong_From_Point_to_Local_2011.pdf (1.74 MB)

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