Automatic image segmentation method for in vitro wound healing assay quantitative analysis
- Autores:
-
Cardona A.
Ariza-Jiménez L.
Uribe D.
Arroyave J.
Cortés-Mancera F.M.
- Tipo de recurso:
- Fecha de publicación:
- 2015
- Institución:
- Instituto Tecnológico Metropolitano
- Repositorio:
- Repositorio ITM
- Idioma:
- OAI Identifier:
- oai:repositorio.itm.edu.co:20.500.12622/3714
- Acceso en línea:
- http://hdl.handle.net/20.500.12622/3714
- Palabra clave:
- Rights
- License
- http://purl.org/coar/access_right/c_14cb
id |
RepoITM2_26aef8f0118d71504f262011c5931349 |
---|---|
oai_identifier_str |
oai:repositorio.itm.edu.co:20.500.12622/3714 |
network_acronym_str |
RepoITM2 |
network_name_str |
Repositorio ITM |
repository_id_str |
|
spelling |
Cardona A.Ariza-Jiménez L.Uribe D.Arroyave J.Cortés-Mancera F.M.2020-08-28T22:28:44Z2020-08-28T22:28:44Z2015http://hdl.handle.net/20.500.12622/371410.1007/978-3-319-13117-7_98Scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84925250785&doi=10.1007%2f978-3-319-13117-7_98&partnerID=40&md5=561706afe3d283e50a13c788ce1b39beAutomatic image segmentation method for in vitro wound healing assay quantitative analysisIFMBE Proceedingsinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94f49381384http://purl.org/coar/access_right/c_14cbPublication20.500.12622/3714oai:dspace-itm.metabuscador.org:20.500.12622/37142025-06-20 16:14:29.031metadata.onlyhttps://dspace-itm.metabuscador.orgRepositorio Instituto Tecnológico Metropolitano de Medellínbdigital@metabiblioteca.com |
dc.title.spa.fl_str_mv |
Automatic image segmentation method for in vitro wound healing assay quantitative analysis |
dc.title.alternative.none.fl_str_mv |
IFMBE Proceedings |
title |
Automatic image segmentation method for in vitro wound healing assay quantitative analysis |
spellingShingle |
Automatic image segmentation method for in vitro wound healing assay quantitative analysis |
title_short |
Automatic image segmentation method for in vitro wound healing assay quantitative analysis |
title_full |
Automatic image segmentation method for in vitro wound healing assay quantitative analysis |
title_fullStr |
Automatic image segmentation method for in vitro wound healing assay quantitative analysis |
title_full_unstemmed |
Automatic image segmentation method for in vitro wound healing assay quantitative analysis |
title_sort |
Automatic image segmentation method for in vitro wound healing assay quantitative analysis |
dc.creator.fl_str_mv |
Cardona A. Ariza-Jiménez L. Uribe D. Arroyave J. Cortés-Mancera F.M. |
dc.contributor.author.none.fl_str_mv |
Cardona A. Ariza-Jiménez L. Uribe D. Arroyave J. Cortés-Mancera F.M. |
publishDate |
2015 |
dc.date.issued.none.fl_str_mv |
2015 |
dc.date.accessioned.none.fl_str_mv |
2020-08-28T22:28:44Z |
dc.date.available.none.fl_str_mv |
2020-08-28T22:28:44Z |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_c94f |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/20.500.12622/3714 |
dc.identifier.doi.none.fl_str_mv |
10.1007/978-3-319-13117-7_98 |
url |
http://hdl.handle.net/20.500.12622/3714 |
identifier_str_mv |
10.1007/978-3-319-13117-7_98 |
dc.relation.citationvolume.none.fl_str_mv |
49 |
dc.relation.citationstartpage.none.fl_str_mv |
381 |
dc.relation.citationendpage.none.fl_str_mv |
384 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_14cb |
rights_invalid_str_mv |
http://purl.org/coar/access_right/c_14cb |
dc.source.none.fl_str_mv |
Scopus |
institution |
Instituto Tecnológico Metropolitano |
dc.source.uri.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925250785&doi=10.1007%2f978-3-319-13117-7_98&partnerID=40&md5=561706afe3d283e50a13c788ce1b39be |
repository.name.fl_str_mv |
Repositorio Instituto Tecnológico Metropolitano de Medellín |
repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
_version_ |
1837096895318589440 |