Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic features

8942020

Autores:: Castrillon D.M.M.
Fontaine P.
Gnep K.
De Crevoisier R.
Diaz G.M.
Acosta O.

Tipo de recurso:

Fecha de publicación:: 2019

Institución:: Instituto Tecnológico Metropolitano

Repositorio:: Repositorio ITM

Idioma:

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spelling	Castrillon D.M.M.Fontaine P.Gnep K.De Crevoisier R.Diaz G.M.Acosta O.2020-08-28T22:27:35Z2020-08-28T22:27:35Z2019http://hdl.handle.net/20.500.12622/312610.1109/BIBE.2019.00183Scopushttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85078575700&doi=10.1109%2fBIBE.2019.00183&partnerID=40&md5=02239ac24980fb41f5c8c8aed10bc010Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic featuresProceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019info:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94f8942020984988http://purl.org/coar/access_right/c_14cbPublication20.500.12622/3126oai:dspace-itm.metabuscador.org:20.500.12622/31262025-06-20 16:16:47.231metadata.onlyhttps://dspace-itm.metabuscador.orgRepositorio Instituto Tecnológico Metropolitano de Medellínbdigital@metabiblioteca.com
dc.title.spa.fl_str_mv	Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic features
dc.title.alternative.none.fl_str_mv	Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
title	Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic features
spellingShingle	Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic features
title_short	Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic features
title_full	Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic features
title_fullStr	Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic features
title_full_unstemmed	Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic features
title_sort	Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic features
dc.creator.fl_str_mv	Castrillon D.M.M. Fontaine P. Gnep K. De Crevoisier R. Diaz G.M. Acosta O.
dc.contributor.author.none.fl_str_mv	Castrillon D.M.M. Fontaine P. Gnep K. De Crevoisier R. Diaz G.M. Acosta O.
description	8942020
publishDate	2019
dc.date.issued.none.fl_str_mv	2019
dc.date.accessioned.none.fl_str_mv	2020-08-28T22:27:35Z
dc.date.available.none.fl_str_mv	2020-08-28T22:27:35Z
dc.type.none.fl_str_mv	info:eu-repo/semantics/conferenceObject
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dc.identifier.doi.none.fl_str_mv	10.1109/BIBE.2019.00183
url	http://hdl.handle.net/20.500.12622/3126
identifier_str_mv	10.1109/BIBE.2019.00183
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dc.relation.citationendpage.none.fl_str_mv	988
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dc.source.none.fl_str_mv	Scopus
institution	Instituto Tecnológico Metropolitano
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Multiple kernel learning applied to the prediction of prostate cancer recurrence from MRI radiomic features

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