Using artificial intelligence to improve the evaluation of human blastocyst morphology

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dc.contributor.authorRocha, José Celso [UNESP]
dc.contributor.authorDa Silva, Diogo Lima Bezerra [UNESP]
dc.contributor.authorDos Santos, João Guilherme Cândido [UNESP]
dc.contributor.authorWhyte, Lucy Benham
dc.contributor.authorHickman, Cristina
dc.contributor.authorLavery, Stuart
dc.contributor.authorNogueira, Marcelo Fábio Gouveia [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionBoston Place Clinic
dc.contributor.institutionUniversity of Oxford
dc.contributor.institutionImperial College London
dc.date.accessioned2019-10-06T16:53:30Z
dc.date.available2019-10-06T16:53:30Z
dc.date.issued2017-01-01
dc.description.abstractThe morphology of the human embryo produced by in vitro fertilized (IVF) is historically used as a predictive marker of gestational success. Although there are several different proposed methods to improve determination of embryo morphology, currently, all methods rely on a manual, optical and subjective evaluation done by an embryologist. Given that tiredness, mood and distinct experience could influence the accuracy of the evaluation, the results found are very different from embryologist to embryologist and from clinic to clinic. We propose the use of an objective evaluation, with repeatability and automatization, of the human blastocyst by image processing and the use of Artificial Neural Network (i.e., Artificial Intelligence).en
dc.description.affiliationLaboratório de Matemática Aplicada FCL Universidade Estadual Paulista (Unesp), Av. Dom Antonio
dc.description.affiliationBoston Place Clinic, 20 Boston Place
dc.description.affiliationUniversity of Oxford
dc.description.affiliationImperial College London
dc.description.affiliationLaboratório de Micromanipulação Embrionária FCL Unesp, Av. Dom Antonio
dc.description.affiliationUnespLaboratório de Matemática Aplicada FCL Universidade Estadual Paulista (Unesp), Av. Dom Antonio
dc.description.affiliationUnespLaboratório de Micromanipulação Embrionária FCL Unesp, Av. Dom Antonio
dc.format.extent354-359
dc.identifier.citationIJCCI 2017 - Proceedings of the 9th International Joint Conference on Computational Intelligence, p. 354-359.
dc.identifier.lattes3734933152414412
dc.identifier.scopus2-s2.0-85055285067
dc.identifier.urihttp://hdl.handle.net/11449/189829
dc.language.isoeng
dc.relation.ispartofIJCCI 2017 - Proceedings of the 9th International Joint Conference on Computational Intelligence
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectArtificial Intelligence
dc.subjectEmbryo Classification
dc.subjectHuman Embryo
dc.subjectImage Digital Processing
dc.titleUsing artificial intelligence to improve the evaluation of human blastocyst morphologyen
dc.typeTrabalho apresentado em evento
unesp.author.lattes3734933152414412

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Artigos - Ciências Biológicas - FCLAS