Automatic colon polyp flagging via geometric and texture features.
Publication
, Journal Article
Fiori, M; Musé, P; Aguirre, S; Sapiro, G
Published in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
January 2010
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.
Duke Scholars
Published In
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
DOI
EISSN
2694-0604
ISSN
2375-7477
Publication Date
January 2010
Volume
2010
Start / End Page
3170 / 3173
Related Subject Headings
- Subtraction Technique
- Sensitivity and Specificity
- Reproducibility of Results
- Radiographic Image Interpretation, Computer-Assisted
- Radiographic Image Enhancement
- Pattern Recognition, Automated
- Imaging, Three-Dimensional
- Humans
- Colonography, Computed Tomographic
- Colonic Polyps
Citation
APA
Chicago
ICMJE
MLA
NLM
Fiori, M., Musé, P., Aguirre, S., & Sapiro, G. (2010). Automatic colon polyp flagging via geometric and texture features. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2010, 3170–3173. https://doi.org/10.1109/iembs.2010.5627185
Fiori, Marcelo, Pablo Musé, Sergio Aguirre, and Guillermo Sapiro. “Automatic colon polyp flagging via geometric and texture features.” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2010 (January 2010): 3170–73. https://doi.org/10.1109/iembs.2010.5627185.
Fiori M, Musé P, Aguirre S, Sapiro G. Automatic colon polyp flagging via geometric and texture features. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2010 Jan;2010:3170–3.
Fiori, Marcelo, et al. “Automatic colon polyp flagging via geometric and texture features.” Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2010, Jan. 2010, pp. 3170–73. Epmc, doi:10.1109/iembs.2010.5627185.
Fiori M, Musé P, Aguirre S, Sapiro G. Automatic colon polyp flagging via geometric and texture features. Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference. 2010 Jan;2010:3170–3173.
Published In
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
DOI
EISSN
2694-0604
ISSN
2375-7477
Publication Date
January 2010
Volume
2010
Start / End Page
3170 / 3173
Related Subject Headings
- Subtraction Technique
- Sensitivity and Specificity
- Reproducibility of Results
- Radiographic Image Interpretation, Computer-Assisted
- Radiographic Image Enhancement
- Pattern Recognition, Automated
- Imaging, Three-Dimensional
- Humans
- Colonography, Computed Tomographic
- Colonic Polyps