Name
Title | ||
|---|---|---|
False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry |
Abstract | ||
|---|---|---|
Existing polyp detection methods rely heavily on curvature-based characteristics to differentiate between lesions. However, as curvature is a local feature and a second order differential quantity, noise caused by small bumpy structures and incoherent curvature fields of a discretized volume or surface can greatly increase the number of false positives (FPs) detected. This paper investigates a spectral compression and curvature tensor smoothing algorithm with the aim to reduce the number of FPs detected while preserving true positives. Simulation results give 96% sensitivity for polyps >10 mm while reducing FPs by 92%. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISBI.2009.5192990 | Boston, MA |
Keywords | Field | DocType |
biological organs,computerised tomography,data compression,diagnostic radiography,image coding,medical image processing,CT colonography,bumpy structures,computed tomography,curvature tensor smoothing,curvature-based characteristics,false positive reduction,incoherent curvature field,polyp detection method,second order differential quantity,spectral compression,surface geometry,CAD,Computed tomography (CT),Curvature,Geometry Processing,Polyp Detection | Computer vision,Curvature,Tensor,Pattern recognition,Geometry processing,Computational geometry,Smoothing,Riemann curvature tensor,Artificial intelligence,Data compression,Mathematics,False positive paradox | Conference |
ISSN | ISBN | Citations |
1945-7928 E-ISBN : 978-1-4244-3932-4 | 978-1-4244-3932-4 | 2 |
PageRank | References | Authors |
0.41 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ju Lynn Ong | 1 | 31 | 4.45 |
| Abd-Krim Seghouane | 2 | 78 | 12.27 |