A complete system for candidate polyps detection in virtual colonoscopy
Resumen:
We present a computer-aided detection pipeline for polyp detection in Computer tomographic colonography. The ¯rst stage of the pipeline consists of a simple colon segmentation technique that enhances polyps, which is followed by an adaptive-scale candidate polyp delineation, in order to capture the appropriate polyp size. In the last step, candidates are classi¯ed based on new texture and geometric features that consider both the information in the candidate polyp location and its immediate surrounding area. The system is tested with ground truth data, including °at and small polyps which are hard to detect even with optical colonoscopy. We achieve 100% sensitivity for polyps larger than 6mm in size with just 0.9 false positives per case, and 93% sensitivity with 2.8 false positives per case for polyps larger than 3mm in size.
| 2014 | |
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Computed tomographic Colonography Computer-aided detection Colonic polyp detection Colon segmentation; Curvature motion Diferential features Procesamiento de Señales |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/41802 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| Sumario: | Artículo publicado en International Journal of Pattern Recognition and Artifcial Intelligence, 2014, v. 28, no. 7 |
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