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) |
| _version_ | 1807522993734156288 |
|---|---|
| author | Sapiro, Guillermo |
| author2 | Musé, Pablo Fiori, Marcelo |
| author2_role | author author |
| author_facet | Sapiro, Guillermo Musé, Pablo Fiori, Marcelo |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Sapiro, Guillermo Musé, Pablo Fiori, Marcelo |
| dc.date.accessioned.none.fl_str_mv | 2023-12-11T19:57:50Z |
| dc.date.available.none.fl_str_mv | 2023-12-11T19:57:50Z |
| dc.date.issued.es.fl_str_mv | 2014 |
| dc.date.submitted.es.fl_str_mv | 20231211 |
| dc.description.abstract.none.fl_txt_mv | 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. |
| dc.description.es.fl_txt_mv | Artículo publicado en International Journal of Pattern Recognition and Artifcial Intelligence, 2014, v. 28, no. 7 |
| dc.identifier.citation.es.fl_str_mv | Sapiro, G, Musé, P, Fiori, M. "A complete system for candidate polyps detection in virtual colonoscopy" [Preprint] Publicado en: International Journal of Pattern Recognition and Artifcial Intelligence, 2014, v. 28, no. 7. https://doi.org/10.1142/S0218001414600143 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/41802 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Computed tomographic Colonography Computer-aided detection Colonic polyp detection Colon segmentation; Curvature motion Diferential features |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | A complete system for candidate polyps detection in virtual colonoscopy |
| dc.type.es.fl_str_mv | Preprint |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
| description | Artículo publicado en International Journal of Pattern Recognition and Artifcial Intelligence, 2014, v. 28, no. 7 |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_f7837d9054adfe59f08535c33e938696 |
| identifier_str_mv | Sapiro, G, Musé, P, Fiori, M. "A complete system for candidate polyps detection in virtual colonoscopy" [Preprint] Publicado en: International Journal of Pattern Recognition and Artifcial Intelligence, 2014, v. 28, no. 7. https://doi.org/10.1142/S0218001414600143 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/41802 |
| publishDate | 2014 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | 2023-12-11T19:57:50Z2023-12-11T19:57:50Z201420231211Sapiro, G, Musé, P, Fiori, M. "A complete system for candidate polyps detection in virtual colonoscopy" [Preprint] Publicado en: International Journal of Pattern Recognition and Artifcial Intelligence, 2014, v. 28, no. 7. https://doi.org/10.1142/S0218001414600143https://hdl.handle.net/20.500.12008/41802Artículo publicado en International Journal of Pattern Recognition and Artifcial Intelligence, 2014, v. 28, no. 7We 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.Made available in DSpace on 2023-12-11T19:57:50Z (GMT). No. of bitstreams: 5 FMS14.pdf: 10244207 bytes, checksum: 86c0b9817db8a19c3ff910244588de48 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4244 bytes, checksum: 528b6a3c8c7d0c6e28129d576e989607 (MD5) Previous issue date: 2014enengLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Computed tomographicColonographyComputer-aided detectionColonic polyp detectionColon segmentation;Curvature motionDiferential featuresProcesamiento de SeñalesA complete system for candidate polyps detection in virtual colonoscopyPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaSapiro, GuillermoMusé, PabloFiori, MarceloProcesamiento de SeñalesTratamiento de 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- Universidad de la Repúblicafalse |
| spellingShingle | A complete system for candidate polyps detection in virtual colonoscopy Sapiro, Guillermo Computed tomographic Colonography Computer-aided detection Colonic polyp detection Colon segmentation; Curvature motion Diferential features Procesamiento de Señales |
| status_str | submittedVersion |
| title | A complete system for candidate polyps detection in virtual colonoscopy |
| title_full | A complete system for candidate polyps detection in virtual colonoscopy |
| title_fullStr | A complete system for candidate polyps detection in virtual colonoscopy |
| title_full_unstemmed | A complete system for candidate polyps detection in virtual colonoscopy |
| title_short | A complete system for candidate polyps detection in virtual colonoscopy |
| title_sort | A complete system for candidate polyps detection in virtual colonoscopy |
| topic | Computed tomographic Colonography Computer-aided detection Colonic polyp detection Colon segmentation; Curvature motion Diferential features Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/41802 |
