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Polyps flagging in virtual colonoscopy

Publication ,  Journal Article
Fiori, M; Musé, P; Sapiro, G
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
December 1, 2013

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.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

December 1, 2013

Volume

8259 LNCS

Issue

PART 2

Start / End Page

181 / 189

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Fiori, M., Musé, P., & Sapiro, G. (2013). Polyps flagging in virtual colonoscopy. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8259 LNCS(PART 2), 181–189. https://doi.org/10.1007/978-3-642-41827-3_23
Fiori, M., P. Musé, and G. Sapiro. “Polyps flagging in virtual colonoscopy.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8259 LNCS, no. PART 2 (December 1, 2013): 181–89. https://doi.org/10.1007/978-3-642-41827-3_23.
Fiori M, Musé P, Sapiro G. Polyps flagging in virtual colonoscopy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2013 Dec 1;8259 LNCS(PART 2):181–9.
Fiori, M., et al. “Polyps flagging in virtual colonoscopy.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8259 LNCS, no. PART 2, Dec. 2013, pp. 181–89. Scopus, doi:10.1007/978-3-642-41827-3_23.
Fiori M, Musé P, Sapiro G. Polyps flagging in virtual colonoscopy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2013 Dec 1;8259 LNCS(PART 2):181–189.

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

Publication Date

December 1, 2013

Volume

8259 LNCS

Issue

PART 2

Start / End Page

181 / 189

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences