Polyps flagging in virtual colonoscopy
Resumen:
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
| 2013 | |
|
Texture feature Shape index Virtual colonoscopy Optical colonoscopy Polyp detection Procesamiento de Señales |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/41763 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522938666090496 |
|---|---|
| author | Fiori, Marcelo |
| author2 | Musé, Pablo Sapiro, Guillermo |
| author2_role | author author |
| author_facet | Fiori, Marcelo Musé, Pablo Sapiro, Guillermo |
| author_role | author |
| bitstream.checksum.fl_str_mv | 528b6a3c8c7d0c6e28129d576e989607 9833653f73f7853880c94a6fead477b1 4afdbb8c545fd630ea7db775da747b2f 9da0b6dfac957114c6a7714714b86306 c61feae11aebf3c0b520c1bff4de1622 |
| bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 MD5 MD5 MD5 |
| bitstream.url.fl_str_mv | http://localhost:8080/xmlui/bitstream/20.500.12008/41763/5/license.txt http://localhost:8080/xmlui/bitstream/20.500.12008/41763/2/license_text http://localhost:8080/xmlui/bitstream/20.500.12008/41763/3/license_url http://localhost:8080/xmlui/bitstream/20.500.12008/41763/4/license_rdf http://localhost:8080/xmlui/bitstream/20.500.12008/41763/1/fms132.pdf |
| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Fiori, Marcelo Musé, Pablo Sapiro, Guillermo |
| dc.date.accessioned.none.fl_str_mv | 2023-12-11T19:57:39Z |
| dc.date.available.none.fl_str_mv | 2023-12-11T19:57:39Z |
| dc.date.issued.es.fl_str_mv | 2013 |
| dc.date.submitted.es.fl_str_mv | 20231211 |
| dc.description.abstract.none.fl_txt_mv | 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 |
| dc.identifier.citation.es.fl_str_mv | Fiori, M., Musé, P., Sapiro, G. "Polyps Flagging in Virtual Colonoscopy" Publicado en: Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2013. Lecture Notes in Computer Science, vol 8259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41827-3_23 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/41763 |
| 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 | Texture feature Shape index Virtual colonoscopy Optical colonoscopy Polyp detection |
| dc.subject.other.es.fl_str_mv | Procesamiento de Señales |
| dc.title.none.fl_str_mv | Polyps flagging 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 | 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 |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_613c8c5f2f7d002d34a6b7c5b5ad5647 |
| identifier_str_mv | Fiori, M., Musé, P., Sapiro, G. "Polyps Flagging in Virtual Colonoscopy" Publicado en: Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2013. Lecture Notes in Computer Science, vol 8259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41827-3_23 |
| 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:20.500.12008/41763 |
| publishDate | 2013 |
| 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 | 2023-12-11T19:57:39Z2023-12-11T19:57:39Z201320231211Fiori, M., Musé, P., Sapiro, G. "Polyps Flagging in Virtual Colonoscopy" Publicado en: Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2013. Lecture Notes in Computer Science, vol 8259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41827-3_23https://hdl.handle.net/20.500.12008/41763Computer 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 caseMade available in DSpace on 2023-12-11T19:57:39Z (GMT). No. of bitstreams: 5 fms132.pdf: 1320418 bytes, checksum: c61feae11aebf3c0b520c1bff4de1622 (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: 2013enengLas 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)Texture featureShape indexVirtual colonoscopyOptical colonoscopyPolyp detectionProcesamiento de SeñalesPolyps flagging in virtual colonoscopyPreprintinfo:eu-repo/semantics/preprintinfo:eu-repo/semantics/submittedVersionreponame:COLIBRIinstname:Universidad de la Repúblicainstacron:Universidad de la RepúblicaFiori, MarceloMusé, PabloSapiro, GuillermoProcesamiento de SeñalesTratamiento de ImágenesLICENSElicense.txttext/plain4244http://localhost:8080/xmlui/bitstream/20.500.12008/41763/5/license.txt528b6a3c8c7d0c6e28129d576e989607MD55CC-LICENSElicense_textapplication/octet-stream21936http://localhost:8080/xmlui/bitstream/20.500.12008/41763/2/license_text9833653f73f7853880c94a6fead477b1MD52license_urlapplication/octet-stream49http://localhost:8080/xmlui/bitstream/20.500.12008/41763/3/license_url4afdbb8c545fd630ea7db775da747b2fMD53license_rdfapplication/octet-stream23148http://localhost:8080/xmlui/bitstream/20.500.12008/41763/4/license_rdf9da0b6dfac957114c6a7714714b86306MD54ORIGINALfms132.pdfapplication/pdf1320418http://localhost:8080/xmlui/bitstream/20.500.12008/41763/1/fms132.pdfc61feae11aebf3c0b520c1bff4de1622MD5120.500.12008/417632024-07-24 17:25:48.408oai:colibri.udelar.edu.uy:20.500.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Universidadhttps://udelar.edu.uy/https://www.colibri.udelar.edu.uy/oai/requestmabel.seroubian@seciu.edu.uyUruguayopendoar:47712024-07-25T14:33:39.526821COLIBRI - Universidad de la Repúblicafalse |
| spellingShingle | Polyps flagging in virtual colonoscopy Fiori, Marcelo Texture feature Shape index Virtual colonoscopy Optical colonoscopy Polyp detection Procesamiento de Señales |
| status_str | submittedVersion |
| title | Polyps flagging in virtual colonoscopy |
| title_full | Polyps flagging in virtual colonoscopy |
| title_fullStr | Polyps flagging in virtual colonoscopy |
| title_full_unstemmed | Polyps flagging in virtual colonoscopy |
| title_short | Polyps flagging in virtual colonoscopy |
| title_sort | Polyps flagging in virtual colonoscopy |
| topic | Texture feature Shape index Virtual colonoscopy Optical colonoscopy Polyp detection Procesamiento de Señales |
| url | https://hdl.handle.net/20.500.12008/41763 |
