Novel strategies to improve human embryo selection in IVF: from morphokinetic analysis to Artificial Intelligence

Revelli, Alberto; Benedetto, Chiara; Canosa, Stefano

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Università degli Studi di Torino

Novel strategies to improve human embryo selection in IVF: from morphokinetic analysis to Artificial Intelligence

dc:creator Revelli, Alberto; Benedetto, Chiara; Canosa, Stefano

dc:date2021

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thesis:*

Grantor dc:publisher: Università degli Studi di Torino
Year dc:date: 2021

Author and committee

dc:creator, dc:contributor.*

Authors dc:creator: Revelli, Alberto
Benedetto, Chiara
Canosa, Stefano

Subjects

dc:subject × 1

Settore MED/40 - Ginecologia e Ostetricia

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Statement dc:rights: info:eu-repo/semantics/openAccess
Language dc:language: eng

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dc:identifier.*

Handle dc:identifier: https://hdl.handle.net/2318/2016702
OAI identifier oai:identifier: oai:iris.unito.it:2318/2016702

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Harvested from: Università di Torino
Base URL: iris.unito.it/oai/driver
Last updated: 2026-07-24
Source record: OAI-PMH GetRecord

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citation

Revelli, Alberto; Benedetto, Chiara; Canosa, Stefano. Novel strategies to improve human embryo selection in IVF: from morphokinetic analysis to Artificial Intelligence. Università degli Studi di Torino, 2021. https://hdl.handle.net/2318/2016702

Novel strategies to improve human embryo selection in IVF: from morphokinetic analysis to Artificial Intelligence

Degree

Author and committee

Subjects

Rights

Identifiers

Chain of custody

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