Polyps flagging in virtual colonoscopy

Journal Article

Computer tomographic colonography, combined with computer-aided detection, is a promising emerging technique for colonic polyp analysis. We present a complete pipeline for polyp detection, starting with a simple colon segmentation technique that enhances polyps, followed by an adaptive-scale candidate polyp delineation and classification based on new texture and geometric features that consider both the information in the candidate polyp and its immediate surrounding area. The proposed system is tested with ground truth data, including challenging flat and small polyps. For polyps larger than 6mm in size we achieve 100% sensitivity with just 0.9 false positives per case, and for polyps larger than 3mm in size we achieve 93% sensitivity with 2.8 false positives per case. © Springer-Verlag 2013.

Full Text

Duke Authors

Cited Authors

  • Fiori, M; Musé, P; Sapiro, G

Published Date

  • December 1, 2013

Published In

Volume / Issue

  • 8259 LNCS / PART 2

Start / End Page

  • 181 - 189

Electronic International Standard Serial Number (EISSN)

  • 1611-3349

International Standard Serial Number (ISSN)

  • 0302-9743

Digital Object Identifier (DOI)

  • 10.1007/978-3-642-41827-3_23

Citation Source

  • Scopus