Title :
Automatic colon polyp flagging via geometric and texture features
Author :
Fiori, Marcelo ; Musé, Pablo ; Aguirre, Sergio ; Sapiro, Guillermo
Author_Institution :
Univ. de la Republica-Uruguay, Uruguay
fDate :
Aug. 31 2010-Sept. 4 2010
Abstract :
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.
Keywords :
computerised tomography; image classification; image texture; medical image processing; CAD; automatic colon polyp flagging; candidate polyp location; colonic polyp analysis; computer aided detection; computer tomographic colonography; geometric features; texture features; Colon; Colonography; Computed tomography; Design automation; Feature extraction; Indexes; Shape; CT Colonography; Virtual Colonoscopy; colonic polyp detection; computer-aided detection; Algorithms; Artificial Intelligence; Colonic Polyps; Colonography, Computed Tomographic; Humans; Imaging, Three-Dimensional; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627185
