TY - GEN
T1 - Automatic colon polyp flagging via geometric and texture features
AU - Fiori, Marcelo
AU - Musé, Pablo
AU - Aguirre, Sergio
AU - Sapiro, Guillermo
PY - 2010
Y1 - 2010
N2 - Computer Tomographic Colonography, combined with computer-aided detection (CAD), is a promising emerging technique for colonic polyp analysis. We present a CAD scheme for polyp flagging based on new texture and geometric features that consider both the information in the candidate polyp location and its immediate surrounding area, testing multiple sizes. The proposed algorithm is tested with ground truth data, including flat and small polyps, with very promising results.
AB - Computer Tomographic Colonography, combined with computer-aided detection (CAD), is a promising emerging technique for colonic polyp analysis. We present a CAD scheme for polyp flagging based on new texture and geometric features that consider both the information in the candidate polyp location and its immediate surrounding area, testing multiple sizes. The proposed algorithm is tested with ground truth data, including flat and small polyps, with very promising results.
KW - Colonic polyp detection
KW - Computer-aided detection
KW - CT Colonography
KW - Virtual colonoscopy
UR - http://www.scopus.com/inward/record.url?scp=78650849683&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650849683&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2010.5627185
DO - 10.1109/IEMBS.2010.5627185
M3 - Conference contribution
C2 - 21096596
AN - SCOPUS:78650849683
SN - 9781424441235
T3 - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
SP - 3170
EP - 3173
BT - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
T2 - 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Y2 - 31 August 2010 through 4 September 2010
ER -